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FULL TIME

Lead Data
Engineer

Data Engineering
£70000 - £85000

Remote (UK)

About the role and Sigmatic Analytics

At Sigmatic Analytics, we’re on the lookout for dependable, driven data professionals who are passionate about delivering real value through data. If you thrive on solving complex challenges and transforming ideas into actionable insights, you’ll feel right at home here.

We’re looking for individuals who specialize in fast, high-impact execution—from concept to delivery. You should be innovative, data-centric, and deeply experienced with modern data technologies. A passion for analytics, a love for agile environments, and a hunger to grow are essential.

We especially want to hear from those who embody our core values:
Authentic Integrity, Dependable Brilliance, Visionary Pragmatism, Optimistic Resilience, and Entrepreneurial Drive.

At Sigmatic, we believe in growing together. That means sharing skills, ideas, and experiences—not just within the team, but also with the wider data community. If you’re committed to excellence and excited to contribute to a collaborative, forward-thinking culture—we want to hear from you.

What you will do

At Sigmatic Analytics, we’re seeking a Lead Data Engineer with a strong command of the Microsoft Intelligent Data Platform and expert-level knowledge of SQL. In this role, you’ll collaborate within a tight-knit, agile team to deliver impactful data solutions for our clients.

You’ll be expected to design, build, test, and deploy scalable data pipelines and architecture that unlock meaningful insights and drive business value. This position requires hands-on technical excellence, a problem-solving mindset, and the ability to move swiftly from concept to execution.

How you will do it

We understand that technology is always evolving, but to thrive in this role at Sigmatic Analytics, you should bring solid hands-on, architectural, and platform experience with at least two or more of the following:

  • Databricks

  • Dedicated SQL Pools

  • Synapse Analytics

  • Azure Data Factory

To set yourself up for success, you should also have deep technical expertise in:

  • Apache Spark, SQL, and Python

  • Proven development best practices and scalable design patterns

  • Supporting Azure tools and services including Data Lake, Key Vault, Azure DevOps

Within Databricks, we’re especially interested in your experience with:

  • Delta Lake

  • Unity Catalog

  • Cluster configuration, performance tuning, and debugging

If you're passionate about cutting-edge data engineering and ready to build intelligent, scalable solutions—we want to hear from you.

Why Choose Sigmatic Analytics?

At Sigmatic Analytics, we’re proud partners of Microsoft and Databricks, giving our team access to top-tier resources, training, and opportunities in the evolving world of data. We invest heavily in our people—your growth is our priority.

We thrive on solving complex data problems and actively support involvement in the wider data community. Whether it's blogging, speaking, or attending events—we’ll back you every step of the way.

We are an equal opportunity employer that values diversity and fosters an inclusive, supportive environment.

What We Offer

  • Competitive holidays

  • Pension contributions & benefits

  • Performance-based bonuses

  • Ongoing training & career development

  • Flexible & remote working options

  • Paid events & team-building days

Work Location
We’re a remote-first company, but offer on-site options as well. Team collaboration is important, so occasional meetups are encouraged. Candidates must reside and be eligible to work in the UK.

Interview Process
Our process is straightforward:

  1. Intro Call – A quick chat to align on expectations.

  2. Two-Stage Interview – One general competency, one technical deep dive You may also meet other team members during the process.

Apply for this

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Sigmatic Analytics

Sigmatic Analytics empowers businesses with data-driven solutions—from scalable infrastructure to AI integration. We turn complex data into clear, actionable insights.

Contact Us

+44 7533 735735

85 Great Portland St

London W1W 7LT

Quick Links

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