Senior Databricks Engineer (Contract, £550-600 p/d)

Layke AI; Birmingham; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

Layke AI is looking for a Senior Data Engineer to support the next stage of a major data platform build. This hands-on role focuses on building a modern cloud data environment using Azure, Databricks, and Lakehouse architecture.

The position requires experience in designing and developing data pipelines and robust data models. Ideal candidates should have strong SQL skills, Python experience, and knowledge of data quality principles. This role offers remote flexibility with occasional Midlands presence.

Qualifications

• Strong commercial experience as a Data Engineer / Senior Data Engineer.
• Hands-on experience with Databricks and Azure-based data platforms.
• Experience in financial services, wealth management, insurance, banking or another regulated environment would be highly beneficial.

Responsibilities

• Building and optimising data pipelines using Azure Data Factory, Python, SQL and Databricks.
• Developing robust data models and data flows for reporting and analytics.
• Helping improve CI/CD and deployment practices for data engineering workflows.

Skills

Data Engineering

Databricks

Azure Data Factory

SQL

Python

Data Modelling

CI/CD

Azure SQL / MS SQL

Data Quality

Git

Education

Databricks certification

Tools

PowerBI

Job description

Layke is working with a new client on a contract requirement for a Senior Data Engineer to support the next stage of a major data platform build.

This is a hands‑on engineering role focused on building out a modern cloud data environment using Azure, Databricks and Lakehouse architecture. The successful contractor will help shape scalable data pipelines, improve data quality controls, and support analytics/reporting capability across the business.

You’ll suit this role if you are comfortable taking ownership in a growing data function, working directly with stakeholders, and turning business requirements into reliable, production‑grade data solutions.

You’ll be involved in designing and developing data pipelines and data structures across an Azure/Databricks environment, supporting a wider data and analytics platform build. Typical work will include:

• Building and optimising data pipelines using Azure Data Factory, Python, SQL and Databricks
• Working with Lakehouse / medallion-style architecture
• Developing robust data models and data flows for reporting and analytics
• Working with Azure SQL / MS SQL environments
• Helping improve CI/CD and deployment practices for data engineering workflows
• Supporting dashboarding and analytical outputs, including PowerBI-facing datasets

What we’re looking for

• Strong commercial experience as a Data Engineer / Senior Data Engineer
• A relevant and current Databricks certification
• Hands‑on experience with Databricks and Azure-based data platforms
• Strong SQL skills, ideally across MS SQL / Azure SQL
• Python experience for data engineering, automation and ETL/ELT workflows
• Experience building scalable data platforms, ideally using lakehouse patterns
• Good understanding of data modelling, data quality and governance principles
• Experience with Git and CI/CD ways of working
• Experience in financial services, wealth management, insurance, banking or another regulated environment would be highly beneficial
• Location: UK remote with occasional Midlands presence possible