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Data Engineer F/H (CDI)
Permanent (CDI) data engineer role at JEMS, a large European data services firm whose consultants work at big-client sites. Day to day: design end-to-end data solutions, collect/integrate data, ensure quality and governance, and industrialize deployments with tests. Core stack: SQL, Python, PySpark, Databricks, Power BI, Azure/Azure Data Factory and CI tools (Git, Jenkins, SonarQube, JUnit).
Senior Data Engineer F/H (CDI)
Senior Data Engineer (permanent role) at Premium Partners, the wealth-management arm of Groupe Premium in Boulogne-Billancourt. Day to day: designing, building and operating data pipelines and models on Microsoft Fabric/Azure, activating data into CRM and marketing tools, and ensuring quality, observability, DataOps and cloud cost control.
Senior Data Engineer – AWS Data Platform & Pipelines
Senior Data Engineer at TCS UK&I who designs, builds, tests, deploys, and operates scalable batch and streaming data pipelines on AWS using Python, PySpark, SQL, and dbt, owning solutions end-to-end from design through production support with a focus on security and monitoring.
Data Engineer | London, UK
Contract Data Engineer (hybrid, 3 days/week in the London office) owning end-to-end data pipeline architecture, orchestration, and production readiness, while supporting CRM decisioning and customer data activation. Core stack is SQL, Python, Spark/PySpark, and Databricks, with 8+ years of data engineering experience required.
Senior Data Engineer IRC307995
Senior/Principal Data Engineer owning a customer decisioning pipeline end to end at GlobalLogic: building scalable scheduled and event-triggered data pipelines with Python (PySpark), advanced SQL, Apache Spark and Databricks, enforcing CI/CD via Git and Azure DevOps, and running production data quality, reconciliation and incident response.
Senior Data Engineer
TCS (London) is hiring a hands-on Senior Data Engineer to build, modernize and operate production data platforms on AWS for banking, financial services and insurance clients. Day-to-day work spans batch, streaming and CDC pipelines using Python, PySpark, SQL, dbt, Kafka/MSK and IaC with Terraform or CDK.
Data Engineer - Financial Crime Detection (AML/TF) | Hybrid
Data engineer in ABN AMRO's Financial Economic Crime (FEC) Transaction Monitoring team in Amsterdam, strengthening in-house applications that detect AML/TF risks by ensuring reliable data flows and effective alerting. Works in an Agile DevOps setup using PySpark, Azure Databricks, Azure Data Factory, and SQL.
Data engineer in regulatory reporting
Medior data engineer at one of the largest banks in the Netherlands: owns and improves the data pipelines feeding regulatory/compliance reports, resolves data quality issues and incidents, and helps migrate legacy reporting workloads to a new AWS-based data lake using Python/PySpark, SQL and AWS services like S3, Glue, Athena and Redshift.
Data Engineer
Data Engineer in Singapore who analyses data needs, designs and builds big-data ETL jobs and reporting/warehouse solutions, develops tests, supports deployments, and handles production issues. Core stack: Python, PySpark, SQL, Linux, Hive/Impala on Cloudera, Informatica, with Tableau and SAP BO for reporting.
SAS Data Engineer for Modernization & Databricks
A data engineer in Lisbon who modernizes and phases out legacy SAS processes by migrating them to Databricks and PySpark, building and maintaining data pipelines in close collaboration with business stakeholders. Core stack: SAS, SQL, Databricks, PySpark; 4-6 years of experience required.
Senior Data Engineer Databricks
Senior Data Engineer on the internal team leading C&W Services' data transformation across EMEA & APAC: building agentic AI workflows, semantic data models, and automated ingestion pipelines on a mature Databricks Lakehouse, plus production troubleshooting and data quality work. Core stack: Databricks, Delta Lake, PySpark, advanced SQL, Azure.
Data Engineer (Databricks)
Closer Consulting, a Portuguese data science and BI consultancy, seeks a mid-senior Data Engineer with 3+ years of experience to build data pipelines and data marts for BI systems using Azure, Databricks, SQL, and PySpark, in a hybrid model with 2-3 days per week on-site in Lisbon.
SAS data engineer
Mid-level data engineer (4–6 years' experience) who will modernize and phase out legacy SAS processes, migrating them to Databricks and Microsoft Fabric. Day to day: reverse-engineering SAS code, documenting business rules and data flows, working with SQL, and supporting the build, testing, and validation of migrated solutions.
Data Engineer
Data engineer (2+ years' experience) in Portugal building data pipelines with PySpark and an Azure Datalake integration layer using Databricks, Azure Analysis Services (DAX) and Azure DevOps, then delivering QoS dashboards in Power BI for a monitoring product tracking app performance, logs and BAU KPIs.
Data Scientist
Data Scientist at Accenture Federal Services supporting US federal government clients: analyzing data for trends, building ML/AI/statistical models, writing Python (pandas, PySpark) and SQL for ETL and analysis, and creating interactive dashboards. Heavy focus on NLP, LLMs, and GenAI tooling like LangChain, RAG, and fine-tuning.
Data Platform Engineer for Analytics & AI Excellence
GRAITEC is hiring a Data Platform Engineer in Barcelona to build and operate an analytics/AI platform on Microsoft Fabric (Lakehouse, Warehouses, Pipelines, Notebooks), integrating data from Dynamics 365, CRM and telemetry with a multi-layer data model and unified customer/product identity. Core stack: SQL, Python/PySpark, Fabric and data DevOps.