DV-Cleared Data Engineer - Contract Role
Posted 3 days ago by La Fosse
£750 Per day
Outside
Hybrid
London Area, United Kingdom
Summary: The role is for a DV-cleared Senior Data Engineer based in London, requiring a strong background in data engineering to optimize data pipelines within a Databricks Lakehouse environment. The position involves collaboration with stakeholders to ensure high-quality data delivery for analytics and reporting. The contract is initially for six months with a strong potential for extension. The role requires on-site presence two days a week.
Key Responsibilities:
- Design, build, and optimise data pipelines using ELT/ETL best practices
- Migrate and transform data into a Databricks Lakehouse architecture
- Ensure data quality, reliability, and scalability for analytics and reporting
- Collaborate with stakeholders to deliver robust solutions aligned with business needs
Key Skills:
- DV Clearance (mandatory) and must be UK based
- Ideally 7+ years in Data Engineering
- Proven ability to design and optimise pipelines for large-scale data processing
- Hands-on experience with Databricks, Azure, and secure cloud environments (if not AWS experience accepted)
- Strong communication and problem-solving skills
- Tech Stack Required: Databricks, DBT (ideally), Python, PySpark, SQL, Azure/AWS
Salary (Rate): £750/day
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
New DV Cleared Senior Data Engineer | Location: London (2 days per week onsite) IR35 | £625-750/day | Initial 6 Months | 2026 Start Now | Strong Extension Potential!
We have a new requirement for a DV-cleared Data Engineer contract opportunity with a global leading consulting client of ours. You will be working in a high-impact team focused on rebuilding and optimising data pipelines into a Databricks Lakehouse environment, enabling clean, scalable, and high-quality data delivery for analytics and reporting.
Key Responsibilities
- Design, build, and optimise data pipelines using ELT/ETL best practices
- Migrate and transform data into a Databricks Lakehouse architecture
- Ensure data quality, reliability, and scalability for analytics and reporting
- Collaborate with stakeholders to deliver robust solutions aligned with business needs.
Ideal Candidate
- DV Clearance (mandatory) and must be UK based
- Ideally 7+ years in Data Engineering
- Proven ability to design and optimise pipelines for large-scale data processing
- Hands-on experience with Databricks, Azure, and secure cloud environments (if not AWS experience accepted)
- Strong communication and problem-solving skills
Tech Stack Required
- Databricks
- DBT (ideally)
- Python
- PySpark
- SQL
- Azure/AWS
Please apply directly!