Job Description
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Senior Data Engineer
Location: 100% Remote (UK-based)
Employment Type: Permanent
Salary: Up to £75,000
Positions Available: 2
The Opportunity
We are looking for experienced Senior Data Engineers to play a key role in the evolution of a modern enterprise data platform built on Databricks and AWS.
This is an opportunity for highly autonomous engineers who enjoy ownership, solving complex data challenges, and contributing to scalable, high-quality data solutions in a cloud-first environment.
You’ll work across the full data engineering lifecycle, helping to design, build, optimise, and govern data products within a Databricks Lakehouse architecture.
Key Responsibilities
- Design, develop, and optimise scalable ETL/ELT pipelines using Databricks, Python, SQL, and Delta Live Tables (DLT).
- Build and maintain performant Delta Lake solutions, including partitioning and optimisation strategies.
- Contribute to Lakehouse architecture design and scalable ingestion frameworks.
- Develop governed, reusable, and maintainable data products.
- Implement data quality, observability, monitoring, and automated testing frameworks.
- Ensure alignment with governance, lineage, and security standards using Unity Catalog.
- Optimise Databricks cluster usage, orchestration, and cloud cost efficiency.
- Work collaboratively with architects, analysts, and stakeholders to translate business requirements into technical solutions.
- Mentor and support other engineers while contributing to engineering best practices and standards.
- Drive continuous improvement and innovation across the data platform.
Essential Skills & Experience
- Strong commercial experience as a Data Engineer or Senior Data Engineer.
- Deep hands-on expertise with Databricks on AWS (essential).
- Strong understanding of Spark, Delta Lake, and Lakehouse architectures.
- Proven experience designing scalable and maintainable modern data platforms.
- Strong knowledge of the end-to-end data engineering lifecycle.
- Experience with AWS cloud services in data engineering environments.
- Experience with Data Asset Bundles is highly desirable.
- Strong SQL and Python development skills.
- Understanding of data governance, metadata management, and quality frameworks.
- Ability to work autonomously and thrive in a self-directed environment.
- Strong communication and stakeholder management skills.
Ideal Candidate
The ideal candidate will be:
- A self-starter who enjoys autonomy and ownership.
- Comfortable operating in fast-moving engineering environments.
- Passionate about engineering quality, scalability, and continuous improvement.
- Confident influencing technical direction and best practice adoption. xwzovoh
- Delivery-focused with a pragmatic approach to solving problems.