Senior Data Engineer

F5 Remote Jobs; City of Edinburgh; Hybrid; GBP 65,000 - 105,000; Full time

Benefits offered by this job

Flexible working

Hybrid/Remote options

Edinburgh office hub

Job summary

CreateFuture is seeking a Senior Data Engineer to lead production data pipelines built on Microsoft Fabric, Python, and PySpark. You will translate data requirements into robust, maintainable solutions while mentoring engineers and shaping architecture with cross-functional teams.

You’ll own CI/CD pipelines, troubleshoot complex issues, and collaborate with clients to deliver scalable data platforms across engagements. This role emphasizes autonomy and technical leadership.

Qualifications

• Deep SQL skills and data modelling experience.
• Strong Python and PySpark for batch ELT processing.
• Experience designing and operating production data pipelines.

Responsibilities

• Design, build, and maintain scalable, production-ready data pipelines.
• Decide on pipeline architecture and data modelling trade-offs.
• Mentor junior engineers and review code to raise delivery standards.
• Own CI/CD pipelines for data workflows and deployments.
• Troubleshoot complex live data issues.
• Collaborate with cross-functional teams and clients to shape data needs.

Skills

SQL

Python

PySpark

CI/CD

Mentoring

Tools

Microsoft Fabric

Databricks

Snowflake

Synapse

Job description

Job Details

• Company: CreateFuture
• Position: Senior Data Engineer
• Location: Edinburgh

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.

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 Microsoft Fabric, 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 Microsoft Fabric, 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 significant hands‑on experience with a modern cloud data platform such as Microsoft Fabric (our current client’s platform), Databricks, Snowflake, or Synapse, including designing and operating production data pipelines - the platform is the wrapper, not the skill, and someone strong on one will pick up another quickly
  • 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 proficiency in Python and PySpark for batch data processing, with a track record of writing production‑grade, well‑tested code (this role is focused on batch/ELT pipeline engineering, not real‑time streaming - we treat the two as separate disciplines)
  • 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

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!