Senior Data Engineer - Contract Role
Posted 1 day ago by La Fosse
£525 Per day
Outside
Hybrid
Manchester Area, United Kingdom
Summary: This role is for a Senior Data Engineer on a contract basis, focusing on rebuilding and optimizing data pipelines within a Databricks Lakehouse environment. The position is outside IR35 and requires one day per week on-site in either Milton Keynes or Manchester. The contract is initially for 7 months with the potential for extension on a greenfield project. The ideal candidate will have extensive experience in data engineering and cloud-based platforms, particularly Databricks and Azure.
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.
- Support production environments and troubleshoot performance issues.
Key Skills:
- 7+ years in Data Engineering with strong experience in cloud-based data platforms.
- Proven ability to design and optimise pipelines for large-scale data processing.
- Hands-on experience with Databricks and Azure.
- Strong stakeholder communication and problem-solving skills.
- Tech Stack Required: Databricks, DBT, Python, PySpark, SQL, Azure.
- Bonus: Experience in eCommerce environments.
Salary (Rate): £525 daily
City: Manchester
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
Senior Data Engineer Contract Role Outside IR35 | £500-525/day | Milton Keynes or Manchester | Hybrid | Initial 7 Months
We have a new Senior Data Engineer contract opportunity with a global leading client with offices in both Manchester and Milton Keynes. You’ll join 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. This is outside IR35, requires 1 day per week on-site, and offers an initial 7-month contract with an immediate start and strong potential for extension on a greenfield project.
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.
- Support production environments and troubleshoot performance issues.
Ideal Candidate
- 7+ years in Data Engineering with strong experience in cloud-based data platforms.
- Proven ability to design and optimise pipelines for large-scale data processing.
- Hands-on experience with Databricks and Azure.
- Strong stakeholder communication and problem-solving skills.
Tech Stack Required: Databricks DBT Python PySpark SQL Azure
Bonus: Experience in eCommerce environments.
If you are interested please apply below!