Senior Data Engineer

La Fosse Associates; Liverpool; On-site; GBP 92,000 - 101,000; Full time

Benefits offered by this job

Hybrid work (3 on-site days)

Job summary

La Fosse Associates is seeking a Senior Data Engineer for a contract role in Liverpool, offering hybrid work with 3 days on-site and an initial 6-month term. The role focuses on rebuilding and optimising data pipelines into a Databricks Lakehouse environment to enable clean, scalable analytics and reporting.

You will work with cloud-based platforms, Databricks and Azure, delivering robust data solutions and collaborating with stakeholders to meet business needs. 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.
• Strong stakeholder communication and problem-solving skills.

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

Databricks

Python

PySpark

SQL

Azure

Data Engineering

Job description

Senior Data Engineer Contract Role

Outside IR35 | £500-550/day | Liverpool (3 days on-site) | Hybrid | Initial 6 Months

We have a new Senior Data Engineer contract opportunity with client of ours based in Liverpool with 3 days required per week on-site.

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, and offers an initial 6-month contract with an immediate start and strong potential for extension.

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
• Python
• PySpark
• SQL
• Azure

Bonus:

Any experience with Fabric or Copilot