Senior Data Engineer

We are looking for a Senior Data Engineer to join our data team, taking ownership of the design, delivery, and reliability of production data pipelines built on platforms like Snowflake / Databricks, Python, and PySpark. You'll work with a high degree of autonomy, taking on the more complex and ambiguous data engineering challenges across client engagements, while mentoring junior engineers and helping to raise the bar on engineering practice. You'll collaborate closely with architects, product teams, and client stakeholders to translate data requirements into robust, maintainable solutions.

Take ownership of designing, building, and maintaining scalable, production-ready data pipelines using AWS data services (e.g., AWS Glue, EMR, S3, Redshift, Athena), Python, and PySpark, with minimal supervision

Make sound technical decisions on pipeline architecture, data modelling, and tooling, weighing up trade-offs in performance, cost, and maintainability

Mentor and support junior and mid-level data engineers, reviewing code and sharing knowledge to raise the standard of delivery across the team

Own and continuously improve CI/CD pipelines for data engineering workflows, ensuring reliable, repeatable deployments

Troubleshoot and resolve complex issues in live data pipelines, acting as a point of escalation for the wider team

Partner with cross-functional teams and client stakeholders to understand data requirements and shape them into technical solutions

Have designed and operated production data pipelines on a modern cloud data platform, AWS (Glue, EMR, Redshift, S3/Lake Formation), Databricks, Snowflake or comparable, and can talk about which of those decisions would travel to a different one, and which wouldn't.

Have owned orchestration in production, dependency design, retries, SLAs, and the observability that tells you a pipeline failed before the client does.

Have landed data from awkward sources: APIs, CDC off operational databases, files that change shape without telling you.

Have deep SQL skills and hands-on experience with data modelling (e.g., Kimball, medallion/lakehouse patterns, or domain-driven modelling) — this is the load-bearing, provider-agnostic skill underneath almost all of our pipeline work

Have strong Python and PySpark for batch processing, with production-grade, well-tested code. The bulk of this work is batch and ELT, but you'll need to have experienced event-driven or micro-batch pipelines and know where the design assumptions stop holding. )

Have experience owning the delivery of data engineering work with limited oversight, including CI/CD management and support

Have experience mentoring or supporting the development of less experienced engineers

Are comfortable working directly with stakeholders to shape technical solutions from ambiguous requirements, presenting your work, estimation and discussing tradeoffs and risks.

We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You’ll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed.

We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look.

We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process.

It usually looks like this:

Call with our Talent Acquisition Team

Role specific capability interview

Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens.

We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work.

If you need any adjustments or support during the application process, just. We will do what we can to help.

We look forward to your application!