Senior Data Engineer - Contract Role

La Fosse; Milton Keynes; Hybrid; GBP 92,250 - 96,862; Full time

Job summary

A global leading client in the UK is seeking a Senior Data Engineer to join a high-impact team focused on rebuilding and optimizing data pipelines in a Databricks Lakehouse environment. This role offers an initial 7-month contract with a hybrid work model, requiring 1 day per week on-site. Candidates should have 7+ years in data engineering with strong expertise in Databricks and cloud platforms. Immediate start available.

Qualifications

• 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.

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.

Skills

Data Engineering

Cloud-based data platforms

Stakeholder communication

Problem-solving

Databricks

DBT

Python

PySpark

SQL

Tools

Databricks

Azure

Job description

Direct message the job poster from La Fosse

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.
• Databricks
• DBT
• Python
• PySpark
• SQL

Bonus: Experience in eCommerce environments.

If you are interested please apply below!