Databricks Data Engineer
Salary: 40K – 50K
Location: Manchester
Role Overview
Our client is seeking a Data Engineer to support the development, optimisation and ongoing improvement of a modern cloud-based data platform. This role would suit someone with strong hands-on Databricks experience who enjoys building reliable data pipelines, improving how data flows through the business, and creating trusted datasets for reporting and analytics.
You will work across technical and non-technical teams, helping turn data requirements into scalable solutions that are accurate, maintainable and easy for the business to use.
Key Responsibilities
- Build, enhance and maintain data pipelines within a Databricks environment.
- Use Spark, SQL and Python or Scala to support data transformation and automation.
- Develop structured data layers to support reporting, analytics and wider business use.
- Extract, ingest and integrate data from APIs, databases and other source systems.
- Build controls that help identify, investigate and resolve data issues before they affect reporting.
- Monitor data workflows and troubleshoot failures, performance issues and reliability problems.
- Work with BI and reporting teams to create clean, usable datasets for business consumption.
- Maintain clear technical documentation and support good practice around data structure, ownership and access.
- Support secure and appropriate use of data across the platform. Identify opportunities to simplify, automate and improve data engineering processes.
What We’re Looking For
- Experience working as a Data Engineer within a modern cloud data environment.
- Strong hands-on experience with Databricks and Apache Spark.
- Experience building structured data layers, ideally within a Bronze, Silver and Gold architecture.
- Strong SQL skills for transformation, validation and analysis.
- Python or Scala experience for data engineering, automation or scripting.
- Experience ingesting and integrating data from APIs and source systems.
- Good understanding of data reliability, controls and issue resolution.
- Experience working with cloud data services such as Azure, AWS or GCP.
- Exposure to lakehouse technologies, workflow scheduling or reporting platforms would be beneficial.
- Strong communication skills, with the ability to work across technical teams and business users.
Why Consider This Role?
This is a strong opportunity for a Data Engineer who wants to take ownership of a business-critical data platform and play a key role in improving data quality, structure and reporting capability. You’ll be joining an environment where data is central to decision-making, with the chance to improve pipelines, strengthen controls and help shape scalable data solutions that support long-term business growth. The role offers exposure to Databricks, cloud data engineering, structured data architecture, data improvement work and analytics-focused transformation within a hybrid Manchester-based environment.
Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.
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