Senior Data Engineer
Contract Senior Data Engineer (outside IR35, fully remote EMEA, up to €600/day, ~20 weeks from Nov 2026) building an enterprise Databricks platform for a Data & AI consultancy client: Azure Databricks pipelines, medallion layers, Data Vault-to-Kimball modelling, Unity Catalog governance and Power BI support. French speaking required.
- Compensation
- €600 / day
- Location
- London, United Kingdom
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Contract
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- French-speaking
- 5+ years of professional Data Engineering experience
- 3+ years working within consultancy or client-facing environments
- Hands-on delivery experience across at least 2-3 Databricks projects
- Strong Python, PySpark, SQL and Apache Spark
- Experience with Delta Lake, Unity Catalog and Medallion Architecture
- Experience with Databricks Auto Loader, Lakeflow Jobs and Spark Declarative Pipelines
- Experience with Azure services, including Entra ID, Key Vault and service principals
- Practical experience with GitHub, Azure DevOps and CI/CD
- Proven ability to design solutions and independently deliver production-ready data pipelines
Nice to have
- Experience migrating or simplifying existing Data Vault architectures
- Databricks Asset Bundles and deployment automation
- Advanced Unity Catalog governance and security
- Experience supporting Power BI reporting layers
- Knowledge of cross-source entity matching and complex data reconciliation
Full description
Outside IR35 Contract | Fully Remote EU | Up to €500/day | November Start
We are looking for an experienced French-speaking Senior Data Engineer to support a major Databricks platform buildout for one of our Data & AI consultancy clients.
This is an opportunity to work on a new enterprise data platform, taking ownership of both solution design and hands‑on engineering.
The project will involve building scalable data pipelines, modernising existing data models, implementing governance and delivering a robust Gold layer to support Power BI reporting.
- Start: Early November 2026
- Duration: Approximately 20 weeks (until March 2027)
- Commitment: First 8 weeks full‑time, followed by 2-3 days per week
- Rate: Up to €600 per day
- Location: Fully remote (EMEA)
Key Responsibilities
- Design and develop end‑to‑end data pipelines using Azure Databricks.
- Build and optimise Bronze, Silver and Gold data layers.
- Ingest data from SQL databases, REST APIs, SharePoint and file‑based sources.
- Modernise existing Data Vault models into dimensional data models using Kimball methodology and SCD Type 2.
- Implement incremental data loading, schema evolution and change data capture (CDC).
- Develop transformation, orchestration and data quality processes.
- Configure Unity Catalog governance, including access controls, masking and GDPR requirements.
- Implement CI/CD pipelines and Databricks deployment automation.
- Support historical data migrations, reconciliation and Power BI reporting requirements.
- Collaborate with technical stakeholders throughout design and implementation.
- 5+ years of professional Data Engineering experience.
- 3+ years working within consultancy or client‑facing environments.
- Hands‑on delivery experience across at least 2-3 Databricks projects.
- Strong Python, PySpark, SQL and Apache Spark.
- Experience with Delta Lake, Unity Catalog and Medallion Architecture.
- Experience with Databricks Auto Loader, Lakeflow Jobs and Spark Declarative Pipelines.
- Experience with Azure services, including Entra ID, Key Vault and service principals.
- Practical experience with GitHub, Azure DevOps and CI/CD.