Senior Data Engineer – Contract Role

La Fosse Associates; Manchester; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A global leading client in Manchester is seeking a Senior Data Engineer for a hybrid contract role focused on designing, building, and optimising data pipelines within a Databricks Lakehouse environment. The ideal candidate will have over 7 years of experience in Data Engineering with expertise in cloud platforms and strong skills in collaboration and problem-solving. The role offers a day rate of £500-525 outside IR35 and an initial contract duration of 7 months with potential for extension.

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

Tools

Databricks

DBT

Python

PySpark

SQL

Azure

Job description

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 ineCommerceenvironments.