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Data engineer in Sopra Steria's Financial Services division (Lille area), embedded in client banking projects centered on Snowflake: building ingestion and data-quality pipelines, developing Snowflake nodes/flows, defining best practices, and setting up CI/CD. Stack: Snowflake, Python, PySpark, HDFS, Hive, SQL, GitLab CI.
Data Analyst / Data Engineer at ICSIS, a digital services (ESN) firm in Lille: you'll be embedded in client project teams to build BI solutions end-to-end — from data extraction through modeling to reporting — using ETL tools like ODI, Talend or Stambia and BI platforms such as Power BI, Business Objects or QlikView.
Senior DevOps/FinOps engineer at an IT services firm (ESN) serving French banking and insurance clients, on a long mission reinforcing a client's cloud platform team. Day to day: industrializing CI/CD, managing Azure with Terraform, running Kubernetes/AKS, observability, DevSecOps, and cloud cost optimization.
Data engineer in Sopra Steria's Financial Services division in Nantes, building cloud data platforms for banking clients: batch/streaming ingestion, DataLake structuring, governance, CI/CD pipelines and PoCs/MVPs, using tools like Spark, Kafka, Databricks, Talend, Python/Scala and Power BI. Hybrid role with up to 2 days remote per week.
Data Engineer at Ippon Technologies' Lyon office, building data pipelines and platforms for clients (ingestion, batch/streaming processing, exposure), supporting ML model industrialization, and deploying cloud infra as code. Core stack: Python/Scala, Spark, Kafka, SQL, plus AWS/GCP/Azure, Terraform, dbt, Snowflake and Databricks.
Mp Data is hiring a Cloud Data Engineer in Boulogne-Billancourt (Paris) to design and build data collection, storage, and modeling solutions for clients' big data environments. Day to day involves production-grade Spark/PySpark development, ETL optimization, and cloud data platforms across AWS/GCP/Azure, Snowflake/Databricks, Airflow/Dagster, and dbt.
Confirmed full-stack developer at Sopra Steria's Nantes site, working across the whole project lifecycle — gathering business needs, writing specs, developing, testing, and deploying. Back-end in Java/Spring Boot, front-end in Angular/TypeScript, with PostgreSQL, Docker, Ansible, and GitLab CI/CD, plus mentoring of junior developers.
Full stack developer at Sopra Steria's Grenoble agency, building fixed-price client projects with a Java back-end and Angular front-end: gathering requirements, writing specs, coding, unit testing, reviewing code, joining agile ceremonies, mentoring juniors, and improving CI. Requires solid Java skills, an engineering degree, and 3-5 years of similar experience.
Mp Data is hiring a Data Engineer in Boulogne-Billancourt to design and build data solutions for collecting, organizing, storing, and modeling data, developing production-ready Spark pipelines. The role deploys and optimizes big data services on client cloud platforms (AWS, GCP, Azure) and improves ETL processes with a focus on data quality and governance.
A data engineering internship (stage) in Toulouse, France, focused on identifying business data needs, designing data architectures (data lake, data warehouse), and building and optimizing ETL/ELT pipelines with data quality, monitoring, and CI/CD. The stack includes Python, SQL, Spark, Talend, Azure/AWS/GCP, and Big Data tools.
Confirmed Data Engineer role within Capgemini's Data Value service line in Marseille, working across the full BI/Big Data project lifecycle: data acquisition, optimized storage, processing and analysis, and building reports/dashboards, while sharing knowledge within the Capgemini data community.
Data engineer in Lyon who designs and builds solutions to collect, organize, store, and model data, keeps data sources accessible and high-quality for analysts and data scientists, and contributes to Big Data cluster best practices and regulatory-compliant data policies.
Senior Data Engineer at Capgemini's Marseille office, working across the full lifecycle of BI/Big Data projects: acquiring data, building optimized storage, running processing and analysis, and developing reports and dashboards. Also does data mining on client information assets and shares knowledge within Capgemini's data community.
Data engineer role in Lyon focused on Big Data: designing and building solutions to collect, organize, store, and model data, ensuring data access and quality. Works under an architect so analysts and data scientists can exploit the data, and helps define Big Data cluster policies, procedures, and regulatory compliance.
Infomil, the IT subsidiary of French retail group E.Leclerc, seeks a Senior Big Data Engineer in Toulouse to ensure the quality and valorization of sales-domain data on a GCP Data Lake. Day to day: integrating, transforming and exploiting data flows, tracking GCP costs, driving data migration, and upskilling colleagues.
Senior Data Engineer at Invivoo in Paris, acting as technical lead of a small team on a strategic Big Data platform: designing data ingestion, processing and distribution with Spark and AWS while ensuring data quality and internal compliance. Occasional domestic and international travel.
Big Data Engineer at Sopra Steria (Paris/Ile-de-France) on a financial-services client project: building batch and streaming data ingestion, structuring and securing the DataLake, setting up CI/CD, and running PoCs/MVPs, using Python/Scala/Java, Spark/Hadoop, Kafka, and cloud/data tools like Databricks and Azure HD Insight.
Data Engineer at Sopra Steria (aerospace & space clients vertical) in Toulouse, working on end-to-end Big Data projects: building ETL pipelines and dashboards, full-stack Java work, and designing cloud architectures on AWS or Azure, using Python, Spark, Hadoop and Elasticsearch within SAFe/DevOps methodologies.
A 5-month contract ETL developer role in Toronto (via isgSearch) serving a government health data organization: building and maintaining big-data pipelines and analytics products with Python, PySpark, and SQL on AWS (EMR), orchestrated with Apache Airflow, plus Linux shell scripting and ETL documentation.
A 5-month contract ETL developer role in Toronto building and maintaining data products for a government health data organization. Day-to-day involves manipulating large datasets with Python, PySpark, and SQL on AWS (EMR), orchestrating pipelines with Apache Airflow, writing clean modular code, and producing project documentation.
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