Atos SE (old)

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11 hours ago

Data Engineer

Netherlands

Data Engineer at Atos designing, building, and maintaining data pipelines and architectures on Azure (with Databricks/Snowflake) to enable analytics and AI-driven solutions for consulting clients. Daily work spans SQL, Python, PySpark, data quality/governance, performance tuning, and DevOps for Data alongside data scientists and business stakeholders.

Agile AI Analytics Automation AWS +18 skills

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Senior Data Engineer / Technical Lead (Azure Databricks)

AI Analytics Azure Cloud Cloud Native +17 skills

Technical lead for an enterprise data platform built on Azure Databricks, acting as the architectural right-hand to engineering leadership and mentoring a team of ~6 data engineers. Day to day: designing the central data model and data products, setting standards, and hands-on work with Spark, PySpark, Python, and SQL.

Azure Data Engineer | Informatica + Fabric Hybrid

AI Analytics Azure Cloud Data Governance +2 skills

Atos seeks an independent consultant/data engineer in Warsaw to design ETL/ELT processes with Informatica and Microsoft analytics tools (Fabric, Azure AI), support data migration to OneLake, and ensure data governance, quality, and lineage across Informatica and Microsoft ecosystems for enterprise clients.

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Senior Azure Data Engineer with Synapse

AI Analytics AWS Azure Azure Data Factory +12 skills

Senior data engineer building and maintaining data solutions on Microsoft Azure: designing ETL/ELT pipelines with Azure Data Factory and Microsoft Fabric, and developing analytical solutions in Azure Data Lake and Synapse Analytics. Mostly remote from Poland, with two short trips a year to a client's office in the Netherlands; EU nationality and B2 English required.

NewBe an early applicant HybridEurope

Data Engineer (Azure Data Platform) + Informatica

AI Analytics AWS Azure Azure Data Factory +20 skills

Consultant/Data Engineer at Atos designing ETL/ELT processes with Informatica (PowerCenter/IICS) and Microsoft Azure (Data Factory, Synapse, Fabric), migrating data warehouses to OneLake and leveraging AI such as Fabric Copilot and Azure OpenAI. Hybrid role based in Polish offices; needs 3-4 years' experience, strong SQL/Python, and fluent Polish and English (B2+).

NewBe an early applicant HybridEurope

Data Engineer (Azure Data Platform)

AI Analytics Automation AWS Azure +19 skills

Medior-level data engineering consultant at Atos in Warsaw, designing data architectures on Microsoft Fabric (OneLake, Data Factory, Lakehouse), building ETL/ELT with Azure Data Factory and Synapse (Spark/PySpark), developing Power BI data models, and delivering AI-powered features (Azure OpenAI, Copilot) for business clients.

NewBe an early applicant EuropeSenior

Senior Azure Data Engineer - Remote, Build Data Pipelines

Analytics Azure Azure Data Factory Azure Synapse Data Lake

Senior Data Engineer at Atos in Wrocław, Poland, building and optimizing data solutions and integration pipelines on the Azure stack — Data Factory, Fabric, Synapse Analytics, and Data Lake — while collaborating with stakeholders. English proficiency is required for global collaboration and reporting.

Data Engineer: ETL & Data Migration (Remote)

Data Engineering ETL Flux PostgreSQL Power BI +2 skills

France

Atos is hiring a Data Engineer (Bordeaux, France) to design, develop and optimize data integration, migration and valorization flows for client projects. Core stack: SQL, PostgreSQL and Snowflake, plus ETL and Power BI; 5+ years of Data Engineering experience required.

Data engineer F/H

Airflow Big Data CI/CD Cloud Data Lake +7 skills

France

Atos is hiring a Big Data engineer to design, industrialize, and support critical client data platforms, including architecture, CI/CD automation, and level-3 production incident/performance troubleshooting. Stack: Apache Spark, Iceberg, Kafka, Kubernetes/OpenShift, Python, Airflow. Salary €42k–52k with up to 3 days remote per week.

42K – 52K €

Big Data Engineer — Spark, Lakehouse, Remote 3d/wk

France

Atos SE is hiring a Big Data engineer to design and evolve high-volume, performance-critical data architectures. Day to day: building and industrializing Spark/Lakehouse data pipelines, contributing to CI/CD automation, and supporting production instances while sharing expertise with the team.

Big Data CI/CD