See more jobs at Clover Health

Apply for this job

Job Description

One of our clients operates prominently in the financial sector, where we enhance operations across their extensive network of 150,000 workstations and support a workforce of 4,500 employees. As part of our commitment to optimizing data management strategies, we are migrating data warehouse (DWH) models into data products within the Data Integration Hub (DIH). 

Responsibilities:

• Drive Data Efficiency: Create and maintain optimal data transformation pipelines.  

• Master Complex Data Handling: Work with large, complex financial data sets to generate outputs that meet functional and non-functional business requirements.  

• Lead Innovation and Process Optimization: Identify, design, and implement process improvements such as automating manual processes, optimizing data delivery, and re-designing infrastructure for higher scalability. 

• Architect Scalable Data Infrastructure: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using open-source technologies. 

• Unlock Actionable Insights: Build/use analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.  

• Collaborate with Cross-Functional Teams:Work clients and internal stakeholders, including Senior Management, Departments Heads, Product, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs. 

Qualifications

Must have:

• 5+ years of experience in a similar role, preferably within Agile teams 

• Skilled in SQL and relational databases for data manipulation 

• Experience in building and optimizing Big Data pipelines and architectures 

• Familiarity with innovative technologies in message queuing, stream processing, and scalable big data storage solutions 

• Knowledge of Apache Spark framework and object-oriented programming in Java; experience with Python is a plus.   

• Proven experience in performing data analysis and root cause analysis on diverse datasets to identify opportunities for improvement.  

• Experience with ETL processes, including scheduling and orchestration using tools like Apache Airflow (or similar) 

• Automate CI/CD pipelines using ArgoCD, Tekton, and Helm to streamline deployment and improve efficiency across the SDLC 

• Manage Kubernetes deployments (e.g. OpenShift), focusing on scalability, security, and optimized container orchestration 

• Strong analytical skills in working with both structured and unstructured data 

Nice to have:  

• Expertise in processing large, disconnected datasets to extract actionable insights 

• Technical skills in the following areas are a plus: relational databases (e.g. PostgreSQL), Big Data Tools: (e.g. Databricks), and workflow management (e.g. Airflow), and backend development using Spring Boot. 

Apply for this job

Job Description

Job Description 

One of our clients operates prominently in the financial sector, where we enhance operations across their extensive network of 150,000 workstations and support a workforce of 4,500 employees. As part of our commitment to optimizing data management strategies, we are migrating data warehouse (DWH) models into data products within the Data Integration Hub (DIH). 

Responsibilities:  

• Drive Data Efficiency: Create and maintain optimal data transformation pipelines.  

• Master Complex Data Handling: Work with large, complex financial data sets to generate outputs that meet functional and non-functional business requirements.  

• Lead Innovation and Process Optimization: Identify, design, and implement process improvements such as automating manual processes, optimizing data delivery, and re-designing infrastructure for higher scalability. 

• Architect Scalable Data Infrastructure: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using open-source technologies. 

• Unlock Actionable Insights: Build/use analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.  

• Collaborate with Cross-Functional Teams: Work clients and internal stakeholders, including Senior Management, Departments Heads, Product, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs. 

Qualifications

Qualifications 

Must have 

• 3+ years of experience in a similar role, preferably within Agile teams.  

• Strong analytical skills in working with both structured and unstructured data 

• Skilled in SQL and relational databases for data manipulation.  

• Experience in building and optimizing Big Data pipelines and architectures.  

• Knowledge of Apache Spark framework and object-oriented programming in Java; experience with Python is a plus.   

• Experience with ETL processes, including scheduling and orchestration using tools like Apache Airflow (or similar). 

• Proven experience in performing data analysis and root cause analysis on diverse datasets to identify opportunities for improvement.  

Nice to have:  

• Expertise in manipulating and processing large, disconnected datasets to extract actionable insights 

• Automate CI/CD pipelines using ArgoCD, Tekton, and Helm to streamline deployment and improve efficiency across the SDLC 

• Manage Kubernetes deployments on OpenShift, focusing on scalability, security, and optimized container orchestration 

• Technical skills in the following areas are a plus: relational databases (e.g. Postgresql), Big Data Tools: (e.g. Databricks), and workflow management (e.g. Airflow), and backend development using Spring Boot. 

Apply for this job

Apply for this job

Apply for this job

Apply for this job

See more jobs at Instacart

Apply for this job

At Plum, we're on a mission to maximise wealth for all. We’re making saving money effortless and turning investing into something everyone can do.

Our journey began back in 2017, when we became one of the first to use artificial intelligence and automation to simplify personal finance. Fast forward to today, and we've already helped people save £2 billion across 10 European markets.

Named the UK's fastest-growing fintech in the Deloitte Technology Fast 50, our success is down to the passion and dedication of our diverse team. Based in our London, Athens and Nicosia offices, 170 talented people work together to empower people to do more with their money. And now, the team is growing!

About the Role

We are looking for a talented and passionate Machine Learning Engineer to join our team and build the next generation of our real-time, data-driven applications. As a Machine Learning Engineer, you will provision and expand the infrastructure of ML and AI at Plum, whilst collaborating closely with Data Engineers and Data Scientists, who are currently managing numerous live production ML systems and delivering on a substantial roadmap. This traverses areas such as document processing automation, transaction fraud detection, marketing spend optimisation and customer retention.

What will you do

• Collaborate with data scientists, data analysts and data engineers on production systems and applications focused on traditional ML, generative AI and MLOps
• Transition ML models from experimental prototypes to production deployments that can handle high volumes of data in real-time, enabling us to make rapid decisions and provide immediate value to our users
• Stay engaged with the latest advancements in data science and fintech, particularly in the areas of leveraging ML techniques to deliver business impact.
• Contribute to the continuous development of our AI and ML Ops infrastructure, covering areas such as model deployment, continuous retraining, feature store, performance monitoring and drift detection.
• Exercise software engineering best practices in the codebase, like version control and continuous integration, with an aim to ensure our models are not just effective, but also thoroughly tested, well-documented, and regularly maintained.
• Promote a culture of mutual learning and growth, where teaching and learning from colleagues is encouraged. We highly value knowledge sharing and ongoing learning.

Who you are????

• Strong foundations in data structures, data modelling (e.g. Airflow and dbt), software architecture, Python, SQL, machine learning frameworks (e.g. Keras, PyTorch), and libraries (e.g. scikit-learn).
• Proven experience in developing, maintaining and deploying machine learning models for real-time applications, with a strong understanding of streaming data processing technologies and real-time inference frameworks in production environments
• Strong understanding of ML applications development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps, agile methodologies, monitoring and alerting, experiment trackers (e.g. mlFlow) & orchestrators (Airflow, Kubeflow)
• Experience in building and optimizing scalable machine learning infrastructure in a cloud setup. We use Google Cloud Platform and leverage services like BigQuery, Vertex AI, and Cloud Storage.
• You have a solid understanding of how to measure the performance of ML models
• Strong problem-solving skills, a critical and creative mindset, and a team-oriented approach with a focus on mentorship and knowledge sharing.

Nice to Have

• Deep knowledge of math, probability, statistics and algorithms
• Experienced with Large Language Models, Generative AI, Langchain, Transformer models
• Understanding of the concepts of GPU-powered workloads, NVIDIA drivers, container runtimes
• Experience provisioning infrastructure components using Terraform, including virtual machines, storage, databases, and other necessary services

Plum's Perks

• We're all in this together! Own part of the company through stock options ????
• Annual training budget
• Private Health & Life Insurance
• Free Plum Premium subscription (normally £9.99 a month)
• Free parking slots
• 25 days holiday a year, excluding public holidays
• Employee referral scheme up to €4000
• Flexible approach to remote working, though we encourage at least 2-3 days a week in our beautiful office in central Athens for optimal collaboration
• 45 days work from anywhere
• Team breakfast on Tuesdays and team lunch on Thursdays in the office, as well as a plentiful supply of fruit, snacks and coffee
• 1 day paid leave for volunteering, supporting you giving back to society
• 2 weeks paid sabbatical after four years of service
• Team trip to secret destinations once a year ✈️
• Great office location in the heart of Athens (Syntagma square), with an amazing view!
• A vibe that’s ????????????

If you think this sounds like a bit of you then don’t hesitate to get in touch!

Thanks,

Plum Τeam ????

*Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of age, race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.

See more jobs at Plum Fintech

Apply for this job

At Plum, we're on a mission to maximise wealth for all. We’re making saving money effortless and turning investing into something everyone can do.

Our journey began back in 2017, when we became one of the first to use artificial intelligence and automation to simplify personal finance. Fast forward to today, and we've already helped people save £2 billion across 10 European markets.

Named the UK's fastest-growing fintech in the Deloitte Technology Fast 50, our success is down to the passion and dedication of our diverse team. Based in our London, Athens and Nicosia offices, 170 talented people work together to empower people to do more with their mone. And now, the team is growing!

About the Role

We are looking for a talented and passionate Machine Learning Engineer to join our team and build the next generation of our real-time, data-driven applications. As a Machine Learning Engineer, you will provision and expand the infrastructure of ML and AI at Plum, whilst collaborating closely with Data Engineers and Data Scientists, who are currently managing numerous live production ML systems and delivering on a substantial roadmap. This traverses areas such as document processing automation, transaction fraud detection, marketing spend optimisation and customer retention.

What will you do

• Collaborate with data scientists, data analysts and data engineers on production systems and applications focused on traditional ML, generative AI and MLOps
• Transition ML models from experimental prototypes to production deployments that can handle high volumes of data in real-time, enabling us to make rapid decisions and provide immediate value to our users
• Stay engaged with the latest advancements in data science and fintech, particularly in the areas of leveraging ML techniques to deliver business impact.
• Contribute to the continuous development of our AI and ML Ops infrastructure, covering areas such as model deployment, continuous retraining, feature store, performance monitoring and drift detection.
• Exercise software engineering best practices in the codebase, like version control and continuous integration, with an aim to ensure our models are not just effective, but also thoroughly tested, well-documented, and regularly maintained.
• Promote a culture of mutual learning and growth, where teaching and learning from colleagues is encouraged. We highly value knowledge sharing and ongoing learning.

Who you are????

• Strong foundations in data structures, data modelling (e.g. Airflow and dbt), software architecture, Python, SQL, machine learning frameworks (e.g. Keras, PyTorch), and libraries (e.g. scikit-learn).
• Proven experience in developing, maintaining and deploying machine learning models for real-time applications, with a strong understanding of streaming data processing technologies and real-time inference frameworks in production environments
• Strong understanding of ML applications development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps, agile methodologies, monitoring and alerting, experiment trackers (e.g. mlFlow) & orchestrators (Airflow, Kubeflow)
• Experience in building and optimizing scalable machine learning infrastructure in a cloud setup. We use Google Cloud Platform and leverage services like BigQuery, Vertex AI, and Cloud Storage.
• You have a solid understanding of how to measure the performance of ML models
• Strong problem-solving skills, a critical and creative mindset, and a team-oriented approach with a focus on mentorship and knowledge sharing.

Nice to Have

• Deep knowledge of math, probability, statistics and algorithms
• Experienced with Large Language Models, Generative AI, Langchain, Transformer models
• Understanding of the concepts of GPU-powered workloads, NVIDIA drivers, container runtimes
• Experience provisioning infrastructure components using Terraform, including virtual machines, storage, databases, and other necessary services

Plum's Perks

• We're all in this together! Own part of the company through stock options ????
• Annual training budget
• Private Life Insurance - Ethniki Asfalistiki
• Provident Fund - Ancoria Bank
• Free Plum Premium subscription (normally £9.99 a month).
• Free parking slots
• 25 days holiday a year, excluding public holidays
• Employee referral scheme up to €4000
• Flexible approach to remote working, though we encourage at least 2-3 days a week in our beautiful office in Nicosia for optimal collaboration.
• 45 days work from anywhere
• Team lunch on Thursdays in the office, as well as a plentiful supply of fruit, snacks and coffee.
• 1 day paid leave for volunteering, supporting you giving back to society.
• 2 weeks paid sabbatical after four years of service.
• Team trip to secret destinations once a year ✈️
• A vibe that’s ????????????

If you think this sounds like a bit of you then don’t hesitate to get in touch!

Thanks,

Plum Τeam ????

*Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of age, race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.Plum's Perks

See more jobs at Plum Fintech

Apply for this job

Job Description

• Write and execute tests to validate products and software applications.
• Develop and maintain test execution and tracking software.
• Collaborate with Product team to identify product and technical requirements.
• Collaborate with Quality & Automation team and Software Engineers to identify, reproduce, and document bugs or defects.
• Assist in integrating testing into CI/CD pipeline.
• Contribute towards architecture designs providing feedback on testability (for Senior).
• Provide guidance and mentorship for less-experienced Test Automation Engineers (for Senior).
• Other duties and responsibilities as assigned.

Qualifications

• 5+ years of work experience in Test Automation for Senior (3+ years for Middle).
• Strong automation coding skills in TypeScript or JavaScript.
• Hands-on experience with Cypress (2+ years at least).
• Experience with CI/CD tools and frameworks (Jenkins, Github Actions, Airflow, Concourse CI preferred).
• A full understanding and appreciation of the test pyramid.
• Excellent communication skills and the ability to work in an Agile team.
• The ability to teach others how to write quality code (for Senior).

See more jobs at Sigma Software

Apply for this job

See more jobs at Agero

Apply for this job

Libertex Group Overview 

Established in 1997, the Libertex Group has helped shape the online trading industry by merging innovative technology, market movements and digital trends. 

The multi-awarded online trading platform, Libertex, enables traders to access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others.

Libertex is, also, the Official Online Trading Partner of FC Bayern, bringing the exciting worlds of football and trading together.

We build innovative fintech so people can #TradeForMore with Libertex.

Job Overview

We are seeking a skilled BI Engineer with expertise in PowerBI data modeling to design and maintain business intelligence solutions. The ideal candidate will have experience in creating efficient data models, optimizing SQL Server databases for reporting, and ensuring data accuracy for decision-making. This role focuses on translating complex data into actionable insights through interactive reports and dashboards.

Main Responsibilities

• Develop and maintain PowerBI data models and complex data warehousing solutions.
• Build and manage ETL pipelines using dbt, Airflow, and Python.
• Optimize SQL Server datamarts for performance and reliability.
• Implement version control using Git for data management.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.

• 3+ years of experience in Data Engineering with a specialization in PowerBI and data warehousing.
• Strong proficiency in MS SQL Server, dbt, Airflow, Python, and Git.
• Excellent command English language.
• Deep expertise in data warehousing principles, including design, implementation, and query optimization.
• Excellent problem-solving skills with a focus on performance and efficiency.
• Strong communication abilities for effective collaboration with cross-functional teams.

• Work in a pleasant and enjoyable environment near the Montenegrin sea or mountains
• Quarterly bonuses based on Company performance
• Generous relocation package for the employee and their immediate family/partner 
• Medical Insurance Plan with coverage for the employee and their immediate family from day one
• 24 working days of annual leave 
• Yearly reimbursement of travel expenses for the employee and family's flight home
• Corporate events and team building activities
• Udemy Business unlimited membership & language training courses 
• Professional and personal development opportunities in a fast-growing environment 

See more jobs at Libertex Group

Apply for this job

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Engineering, Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As an AWS Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines on AWS cloud infrastructure. You will work closely with cross-functional teams to support data analytics, machine learning, and business intelligence initiatives. The ideal candidate will have strong experience with AWS services, Databricks, and Snowflake.

Key Responsibilities:

• Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
• Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements.
• Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver scalable data solutions.
• Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging AWS best practices and cloud-native technologies.

• 8+ years of experience building and deploying large-scale data processing pipelines in a production environment.
• Hands-on experience in designing and building data pipelines
• Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
• Strong experience with Databricks, Pyspark for data processing and analytics.
• Solid understanding of data modeling, database design principles, and SQL and Spark SQL.
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
• Strong problem-solving skills and attention to detail.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

See more jobs at Tiger Analytics

Apply for this job

Description du poste

Dans un souci d’accessibilité et de clarté, les termes employés au masculin se réfèrent aussi bien au genre féminin que masculin.  

Afin de répondre aux enjeux de nos clients, et dans la continuité du développement de nos expertises Data, nous sommes à la recherche d’un stagiaire Data Analyst.

Intégré à l’équipe Data Nantaise, vous rejoignez un projet, sous la responsabilité d’un expert, et au quotidien :

• Vous préparez et intégrez les données nécessaires à la préparation de rapports dataviz
• Vous nettoyez et formatez les données pour les mettre à disposition de vos rapports
• Vous concevez et mettez en forme vos données au travers des outils de la suite Power Platform : Power Automate, Power Bi, …
• Vous développez, testez et mettez à disposition un ensemble de rapports PowerBi pour faciliter la prise de décision
• Vous mettez en valeur, diffusez et vulgarisez les résultats obtenus
• Vous appréhendez les méthodologies AgileScrum et cycle en W

• Vous montez en compétences dans l’un ou plusieurs des environnements technologiques suivants :
  • L’écosystème Data: Spark, Hive, Kafka, Hadoop, Microsoft…
  • Les langages :Scala, Java, Python, DAX, PowerQuery…
  • Les bases de données NoSQL : MongoDB, Cassandra, CosmosDB…
  • Le stockage cloud: Azureet les différentes briques associées dont Power BI
  • Les ETL/Outils d'orchestration du marché : Airflow, Datafactory, Talend...

En rejoignant ASI,

• Vous évoluerez dans une entreprise bientôt reconnue Société à mission, Team GreenCaring et non GreenWashing porteuse d’une démarche RSE incarnée et animée, depuis plus de 10 ans. (Equipe RSE dédiée, accord forfaits mobilités durables…) 
• Vous intégrerez les différentes communautés expertes d'ASI, pour partager des bonnes pratiques et participer aux actions d'amélioration continue. 

Qualifications

De formation supérieure en informatique, mathématiques ou spécialisée en Big Data (de type école d’ingénieurs ou université) en cours de validation (Bac+5), vous êtes à la recherche d’un stage de fin d’études d’une durée de 4 à 6 mois.

• Le respect et l’engagement font partie intégrante de vos valeurs.
• Passionné par la donnée, vous êtes rigoureux et vos qualités relationnelles vous permettent de vous intégrer facilement dans l’équipe.

Le stage devant déboucher sur une proposition d'emploi concrète en CDI.

Désireux d’intégrer une entreprise à votre image, vous vous retrouvez dans nos valeurs de confiance, d’écoute, de plaisir et d’engagement. 

A compétences égales, ce poste est ouvert aux personnes en situation de handicap. 

See more jobs at ASI

Apply for this job

Description du poste

Dans un souci d’accessibilité et de clarté, les termes employés au masculin se réfèrent aussi bien au genre féminin que masculin.  

Afin de répondre aux enjeux de nos clients, et dans la continuité du développement de nos expertises Data, nous sommes à la recherche d’un stagiaire Data Engineer.

Intégré à l’équipe Data Nantaise, vous rejoignez un projet, sous la responsabilité d’un expert, et au quotidien :

• Vous avez un tuteur dédié pour suivre votre évolution
• Vous participez au développement d’une chaîne de traitement de l’information de bout en bout
• Vous intervenez sur de l’analyse descriptive/inférentielle ou prédictive
• Vous participez aux spécifications techniques
• Vous appréhendez les méthodologies Agile Scrum et cycle en W
• Vous montez en compétences dans l’un ou plusieurs des environnements technologiques suivants :
  • L’écosystème Data: Spark, Hive, Kafka, Hadoop…
  • Les langages : Scala, Java, Python…
  • Les bases de données NoSQL : MongoDB, Cassandra…
  • Le stockage cloud: S3, Azure…
  • Les ETL/Outils d'orchestration du marché : Airflow, Datafactory, Talend...

En rejoignant ASI,

• Vous évoluerez dans une entreprise bientôt reconnue Société à mission, Team GreenCaring et non GreenWashing porteuse d’une démarche RSE incarnée et animée, depuis plus de 10 ans. (Equipe RSE dédiée, accord forfaits mobilités durables…) 
• Vous intégrerez les différentes communautés expertes d'ASI, pour partager des bonnes pratiques et participer aux actions d'amélioration continue. 

Qualifications

De formation supérieure en informatique, mathématiques ou spécialisée en Big Data (de type école d’ingénieurs ou université) en cours de validation (Bac+5), vous êtes à la recherche d’un stage de fin d’études d’une durée de 4 à 6 mois.

• Le respect et l’engagement font partie intégrante de vos valeurs.
• Passionné par la donnée, vous êtes rigoureux et vos qualités relationnelles vous permettent de vous intégrer facilement dans l’équipe.

Le stage devant déboucher sur une proposition d'emploi concrète en CDI.

Désireux d’intégrer une entreprise à votre image, vous vous retrouvez dans nos valeurs de confiance, d’écoute, de plaisir et d’engagement. 

A compétences égales, ce poste est ouvert aux personnes en situation de handicap. 

See more jobs at ASI

Apply for this job

Description du poste

Dans un souci d’accessibilité et de clarté, les termes employés au masculin se réfèrent aussi bien au genre féminin que masculin.  

Simon, Responsable de l’équipe Data Nantaise, est à la recherche d’un Data Engineer pour mettre en place, intégrer, développer et optimiser des solutions de pipeline sur des environnements Cloud et On Premise pour nos projets clients.

Au sein d’une équipe dédiée et principalement en contexte agile : 

• Vous participez à la rédaction de spécifications techniques et fonctionnelles
• Vous maitrisez les formats de données structurés et non structurés et savez les manipuler
• Vous connectez une solution ETL / ELT à une source de données
• Vous concevez et réalisez un pipeline de transformation et de valorisation des données, et ordonnancez son fonctionnement
• Vous prenez en charge les développements de médiations 
• Vous veillez à la sécurisation des pipelines de données
• Vous concevez et réalisez des API utilisant les données valorisées
• Vous concevez et implémentez des solutions BI
• Vous participez à la rédaction des spécifications fonctionnelles et techniques des flux
• Vous définissez des plans de tests et d’intégration
• Vous prenez en charge la maintenance évolutive et corrective
• Vous traitez les problématiques de qualité de données

En fonction de vos compétences et appétences, vous intervenez sur l’une ou plusieurs des technologies suivantes :

• L’écosystème data notamment Microsoft Azure
• Les langages : SQL, Java
• Les bases de données SQL et NoSQL
• Stockage cloud: S3, Azure Blob Storage…
• Les ETL/ESB et autres outils : Talend, Spark, Kafka NIFI, Matillion, Airflow, Datafactory, Glue...

En rejoignant ASI,

• Vous évoluerez au sein d’une entreprise aux modes de fonctionnement internes flexibles garantis par une politique RH attentive (accord télétravail 3J/semaine, accord congé parenthèse…) 
• Vous pourrez participer (ou animer si le cœur vous en dit) à nos nombreux rituels, nos événements internes (midi geek, dej’tech) et externes (DevFest, Camping des Speakers…)  
• Vous évoluerez dans une entreprise bientôt reconnue Société à mission, Team GreenCaring et non GreenWashing porteuse d’une démarche RSE incarnée et animée, depuis plus de 10 ans. (Equipe RSE dédiée, accord forfaits mobilités durables…) 

Qualifications

Vous êtes issu d’une formation supérieure en informatique, mathématiques ou spécialisé en Big Data, et avez une expérience minimale de 3 ans en ingénierie des données et d'une expérience opérationnelle réussie dans la construction de pipelines de données structurées et non structurées.

• Attaché à la qualité de ce que vous réalisez, vous faites preuve de rigueur et d'organisation dans la réalisation de vos activités.
• Doté d'une bonne culture technologique, vous faites régulièrement de la veille pour actualiser vos connaissances.
• Un bon niveau d’anglais, tant à l’écrit qu’à l’oral est recommandé.

Désireux d’intégrer une entreprise à votre image, vous vous retrouvez dans nos valeurs de confiance, d’écoute, de plaisir et d’engagement. 

Le salaire proposé pour ce poste est compris entre 36 000 et 40 000 €, selon l'expérience et les compétences, tout en respectant l'équité salariale au sein de l'équipe. 

A compétences égales, ce poste est ouvert aux personnes en situation de handicap. 

See more jobs at ASI

Apply for this job

Job Description

Imagine being part of one of the most successful IT companies in Europe and finding innovative solutions to technical challenges. Turn imagination into reality and apply for this exciting career opportunity in Devoteam.  

Job Highlights:  

• Joining more than 10.000 talented colleagues around Europe  
• International career opportunity   
• Cozy environment in Vilnius and Kaunas offices   

Your Highlights?   

• You have extreme ownership and proven experience in leading complex projects and tasks  
• You have a strong sense of honesty, responsibility and reliability  
• You are ready to step out of comfort zone and constantly work on improving soft and hard skills  
• You are an excellent team player and always ready to assist your colleagues  

Still with us? Then we might have a fantastic job opportunity for you!  

OUR NEW SENIOR BACKEND DEVELOPER  

As a Senior Backend Developer you will get to work on innovating Cloud-based software with the goal of full-scale autonomy when operating Public Clouds. You will also provide technical leadership and mentorship to other team members. 

SOME OF YOUR RESPONSIBILITIES:  

• Develop Cloud-based software backend, ensuring high performance and scalability;
• Help create, maintain and follow best practices for development work including coding, testing, source control, build automation, continuous deployment and continuous delivery  
• Contribute to software engineering excellence by mentoring other team members  
• Participate in the development process relying on your technical expertise  
• Keep up to date on technology innovations 

SOME OF OUR REQUIREMENTS:  

• Deep knowledge of software development methodologies and abilities to quickly adopt to languages and platforms when needed   
• Extensive development experience in C#/.NET  
• Experience in writing REST APIs 
• Experience in developing multi tenant applications 
• Experience with  DevOps including CI/CD and Configuration Management  
• Experience in cloud application development for one of cloud providers (Microsoft Azure, AWS or GCP)  
• Experience working with source code repository management systems, such as GitHub, and Azure DevOps  

It would be awesome, if you have:  

• Understanding of AI and Machine Learning  
• Experience in building and supporting complex distributed  SaaS solutions  
• Solid knowledge of database technologies (RDBMS and NoSQL)  
• Familiarity with some data engineering tools is a plus: Databricks, BigQuerry.
• Experience with workflow orchestration engines, e.g. Cadence, Temporal, Airflow, AWS step functions, etc. 

WHAT YOU CAN LOOK FORWARD TO:   

• Creating a purposeful set of software built on a modern tech stack
• Becoming a part of very specialized team who will support your ability to succeed  
• A challenging and exciting career with an international perspective and opportunities  
• Attractive compensation package with a mix of fixed and variable  
• High level of trust and competency to make your own decisions  
• A warm and talented culture with a focus on business, but knowing that family always comes first  
• Access to international network of specialists within the organization to build your rep and skills  
• Salary from 5500  EUR gross (depending on the experience and competencies)

At  Devoteam we have created a culture of honesty and transparency, inclusion, and cooperation which we value a lot. We are looking for colleagues, who are highly motivated and proactive, not afraid of challenges. We are highly invested in the career path development of our employees, and we offer and support possibilities for further training, certification and specialization.   

Qualifications

See more jobs at Devoteam

Apply for this job

Do you just love tweaking that one annoying query to perform just a little bit better?

Are you the go-to guy to know how to find or use data in a complex distributed ecosystem including plenty of services and databases?

Are you interested in pushing organizations to use their data more effectively and become more data-driven?

Yes? You should definitely read on!

The role you’ll play

At LanguageWire, we offer a large product suite to cater for all our customer’s linguistic needs.

Our product suite includes many products powered by many microservices, each of them owning their own data. We also have our data warehouse and data lake solutions to develop and power our AI/ML developments.

We are looking for a seasoned DBA to support engineering teams in their day to day work. Technology selection, data modelling, query optimization, monitoring & troubleshooting issues, etc. are continuous needs that you will help teams with.

You will not only support the teams but will be responsible for evangelizing and leveling up our engineering teams regarding their data and database. By providing guidance and training.

In parallel to that, as our system is complex and distributed, you will work closely with our Senior Director of Technology to build a solid data governance framework and define/execute our data strategy.

The team you’ll be a part of

We have 8 software teams working across 5 countries and taking care of the continuous development of our platform. We strongly believe in building our own tech so we can deliver the best solutions for our customers. Our teams cover the full technical scope needed to create advanced language solutions with AI, complex web-based tools, workflow engines, large scale data stores and much more. Our technology and linguistic data assets set us apart from the competition and we’re proud of that.

You will report directly to our Senior Director of Technology and work as part of our Technical Enablement team which is a cross-functional team of specialists working closely with all our other engineering teams in core technical aspects (architecture, data engineering, QA automation, performance, cybersecurity, etc.). Our Technical Enablement team es key to ensure that LanguageWire platform is built, run, and maintained in a scalable, reliable, performant and secure manner.

If you want to make a difference, make it with us by…

• Ensuring the optimal operations of our products and services by being the hands-on expert that support our teams on with their databases and data needs.
• Defining LanguageWire’s data architecture framework, standards, and principles, including modeling, metadata, security, reference data, and master data.
• Driving the strategy execution across the entire tech organization by closely collaborating with other teams.

In one year, you’ll know you were successful if…

• All of LanguageWire’s data is well modelled and documented.
• LanguageWire has a powerful core data engine that allows our ML/AI teams to effectively leverage all of our data.
• You are regarded as the go-to person for all database and data needs.

Desired experience and competencies

What does it take to work for LanguageWire?

What you’ll need to bring

You are a hands-on technical expert

• Expert knowledge of SQL (PostgreSQL, SQL Server, etc.)
• Solid data modelling skills, including conceptual, logical and physical models.
• Good knowledge of cloud services (Azure & GCP) and DevOps engineering

You are a team player 

• Excellent communicator able to create engagement and commitment from teams around you
• You love solving complex puzzles with engineers from different areas and different backgrounds 
• You’re eager to understand how the different areas of the ecosystem connect to create the complete value chain

You are a team player 

• You love solving complex puzzles with engineers from different areas and different backgrounds 
• You’re eager to understand how the different areas of the ecosystem connect to create the complete value chain

Fluent English (reading, writing, speaking) 

This will make you stand out

• Experience working within a microservice-based architecture
• Experience with Data Warehousing (BigQuery, SnowFlake, Databricks, …)
• Experience with Orchestration technology (Apache Airflow, Azure Data Factory, …)
• Experience with Data Lakes and Data Warehouses

Your colleagues say you

• Are approachable and helpful when needed
• know all the latest trends in the industry
• never settle for second best

Our perks

• Enjoy flat hierarchies, responsibility and freedom, direct feedback, and room to stand up for your own ideas
• Internal development opportunities, ongoing support from your People Partner, and an inclusive and fun company culture
• International company with over 400 employees. Offices in Copenhagen, Aarhus, Stockholm, Varberg, London, Leuven, Lille, Paris, Munich, Hamburg, Zurich, Kiev, Gdansk, Atlanta, Finland and Valencia
• For this role, we have a full-time FlexiWire@home option for remote work. Of course, you are always welcome at the office to collaborate and connect with your colleagues.
• We take care of our people and initiate many social get-togethers from Friday Bars a to Summer or Christmas parties. We have fun!
• 200 great colleagues in the Valencia office belonging to different business departments
• Excellent location in cool and modern offices in the city center, with a great rooftop terrace and a view over the Town Hall Square
• Working in an international environment—more than 20 different nationalities
• A private health insurance
• A dog friendly atmosphere
• Big kitchen with access to organic fruits, nuts and biscuits and coffee.
• Social area and game room (foosball table, darts, and board games)
• Bike and car parking

About LanguageWire

At LanguageWire, we want to wire the world together with language. Why? Because we want to help people & businesses simplify communication. We are fueled by the most advanced technology (AI) and our goal is to make customer's lives easier by simplifying their communication with any audience across the globe.

Our values drive our behavior

We are curious. We are trustworthy. We are caring. We are ambitious.

At LanguageWire, we are curious and intrigued by what we don’t understand. We believe relationships are based on honesty and responsibility, and being trustworthy reinforces an open, humble, and honest way of communicating. We are caring and respect each other personally and professionally. We encourage authentic collaboration, invite feedback and a positive social environment. Our desire to learn, build, and share knowledge is a natural part of our corporate culture.

Working at LanguageWire — why we like it: 

“We believe that we can wire the world together with language. It drives us to think big, follow ambitious goals, and get better every day. By embracing and solving the most exciting and impactful challenges, we help people to understand each other better and to bring the world closer together.”

(Waldemar, Senior Director of Product Management, Munich)

Yes, to diversity, equity & inclusion

In LanguageWire, we believe diversity in gender, age, background, and culture is essential for our growth. Therefore, we are committed to creating a culture that incorporates diverse perspectives and expertise in our everyday work.

LanguageWire’s recruitment process is designed to be transparent and fair for all candidates. We encourage candidates of all backgrounds to apply, and we ensure that candidates are provided with an equal opportunity to demonstrate their competencies and skills.

Want to know more?

We can’t wait to meet you! So, why wait 'til tomorrow? Apply today!

If you want to know more about LanguageWire, we encourage you to visit our website!

See more jobs at LanguageWire

Apply for this job

See more jobs at hims & hers

Apply for this job

See more jobs at Newsela

Apply for this job