Senior Data Engineer at CreateFuture – Edinburgh | Jobyssey

Working at CreateFuture

CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first.

We’re a team of creators. We write code, shape delivery, build go-to-market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years.

CreateFuture is a Great Place to Work-Certified™ company and has won Best Workplaces UK multiple years in a row.

Join us on our journey. Let’s create tomorrow, together, today.

About the role and team:

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.

What you'll be doing:

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

We'd love to talk to you if you:

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.

What we’ll offer you:

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.

Our hiring process

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.

Inclusion at CreateFuture

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!

Senior Data Engineer

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