Lead Data Engineer

Greenhouse Software, Inc.; City of Edinburgh; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work

Office hubs

Office hubs

Job summary

CreateFuture in Edinburgh is seeking a Lead Data Engineer to own the technical direction of a data engagement, working with Microsoft Fabric, Python, and PySpark. You will lead a team of data engineers, set standards for pipelines and architecture, and stay hands-on with the most complex challenges to deliver technically excellent and commercially sound outcomes.

You will design and evolve data platform architecture, enforce CI/CD and testing, and build strong relationships with client

Qualifications

• Must have extensive hands-on experience with modern cloud data platforms and design production data platforms.
• Experience designing data pipelines, data modelling and architectural patterns.

Responsibilities

• Own the technical direction of a data engagement, setting standards for pipeline architecture, data modelling, testing, and operational readiness.
• Lead and technically direct a team of data engineers, allocating work, reviewing designs and code, and unblocking technical challenges.
• Design and evolve data platform architecture on Microsoft Fabric, including data pipelines, Azure OneLake, and the broader Azure ecosystem.
• Set and enforce CI/CD, testing, and operational practices across the engagement's data engineering workflows, using Azure DevOps.
• Build professional relationships with key client stakeholders, translating business and data requirements into a coherent technical roadmap.
• Troubleshoot and resolve the most complex issues in live data pipelines, and lead incident response when things go wrong.

Skills

Data engineering

Python

PySpark

SQL

Cloud platforms

Azure DevOps

Leadership

Stakeholder management

Tools

Microsoft Fabric

Azure

Azure Synapse

Job description

About the role and team:

We are looking for a Lead Data Engineer to own the technical direction of a data engagement, working with Microsoft Fabric, Python, and PySpark across our data team. You'll lead a team of data engineers, setting the standards for how pipelines and architecture are designed, built, and operated, while remaining hands‑on with the most complex technical challenges. You'll work closely with client stakeholders and CreateFuture's wider engineering capability to ensure delivery is both technically excellent and commercially sound.

What you'll be doing:

• Own the technical direction of a data engagement, setting standards for pipeline architecture, data modelling, testing, and operational readiness
• Lead and technically direct a team of data engineers, allocating work, reviewing designs and code, and unblocking technical challenges
• Design and evolve data platform architecture on Microsoft Fabric, including data pipelines, Azure OneLake, and the broader Azure ecosystem
• Set and enforce CI/CD, testing, and operational practices across the engagement's data engineering workflows, using Azure DevOps
• Build professional relationships with key client stakeholders, translating business and data requirements into a coherent technical roadmap
• Troubleshoot and resolve the most complex issues in live data pipelines, and lead incident response when things go wrong

We'd love to talk to you if you:

• Have extensive hands‑on experience with a modern cloud data platform such as Microsoft Fabric (our current client's platform), Databricks, Snowflake, or Synapse, including designing production data platforms — the platform is the wrapper, not the skill, and strong engineering depth on one transfers readily to another
• Have deep SQL expertise and a strong grasp of data modelling and architecture (Kimball, data vault, medallion/lakehouse patterns, or domain modelling) — this is the clearest line between someone who operates a platform and someone who can design on top of it, and it's provider‑agnostic
• Have strong proficiency in Python and PySpark for batch/ELT data processing at scale (this role centres on batch pipeline engineering — we treat streaming/real‑time as a separate discipline and never assume the two are interchangeable)
• Have led or technically directed a team of data engineers, setting standards for pipeline design, testing, and delivery
• Have experience owning CI/CD and operational practices for data engineering workflows, ideally using Azure DevOps
• Are experienced working directly with client stakeholders, building trust and challenging where appropriate
• Have familiarity with the broader Azure ecosystem, including Azure OneLake and Azure ML, particularly for 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!

Voluntary Self-Identification

As set forth in CreateFuture’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.