Data Engineer

Workplace: Remote with very occasional visit to client site

We’re working with a forward-thinking organisation that’s building modern, production-grade data platforms and is looking for a Senior Data Engineer to play a key role in shaping how data is engineered, deployed, and consumed across the business.

This is a hands-on role for someone who enjoys solving complex data problems and taking data models from concept to production.

What you’ll be doing

Designing, building, and maintaining scalable data pipelines using Python

• Working extensively with Databricks to develop and optimise data processing workflows
• Productionising data models, ensuring they are robust, reliable, and performant
• Collaborating with analytics, data science, and platform teams to deliver high-quality data products
• Improving data quality, monitoring, and observability across the platform
• Influencing technical direction and best practices within the data engineering function

What we’re looking for

Strong experience as a Senior Data Engineer in production environments

Hands-on experience with Databricks (Spark, notebooks, jobs, workflows)

• Proven experience building and productionising data models
• Solid understanding of data warehousing, ETL/ELT, and modern data architectures
• Experience working in cloud environments (AWS, Azure, or GCP)

Nice to have

• Experience with dbt or similar transformation tools
• Exposure to CI/CD for data pipelines
• Knowledge of data governance, lineage, or observability tooling
• Experience working in consultancy or multi-client environments

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