Hiring.Camp

Data Engineer (Microsoft Fabric)

CreateFuture

·

Aug 14, 2026

Location
Sofia
Workplace
Remote
Type
Full-time
Department
Data
Source
Greenhouse

Description

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 Data Engineer to join our data team, building and supporting production-ready data pipelines. You'll work with Microsoft Fabric, Python, and PySpark to design, deliver, and maintain robust data infrastructure, collaborating closely with fellow engineers and stakeholders across the business.

What you’ll be doing:

  • Design, build, and maintain scalable data pipelines using Microsoft Fabric, Python, and PySpark
  • Deliver production-ready data solutions, ensuring reliability, performance, and maintainability
  • Support and manage CI/CD pipelines for data engineering workflows
  • Collaborate closely with team members, sharing knowledge and contributing to a strong engineering culture
  • Troubleshoot and resolve issues in live data pipelines
  • Partner with cross-functional teams to understand data requirements and translate them into technical solutions

We’d love to talk to you if you:  

  • Hands-on experience with Microsoft Fabric
  • Strong proficiency in Python
  • Experience with PySpark
  • Proven experience working effectively as part of a team
  • Experience delivering production-ready data pipelines, including CI/CD management and support

Nice to Have

  • Experience with Azure OneLake
  • Familiarity with the broader Azure ecosystem, particularly Azure DevOps
  • Experience with Azure ML, especially in the context of model industrialisation

 

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!

Skills

PythonAzureCI/CDData EngineeringDevOps

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