Senior Data Engineer

83zero
London, United Kingdom
3 months ago
Applications closed

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Company Overview

We are working with an innovative organisation that recognises the increasing complexity of project delivery. Since 2013, our client has been helping companies of all sizes improve the way projects are delivered.

Their mission is to become the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate professionals who are committed to improving project delivery.

Why Join Our Client?

Our client is currently in an exciting phase of growth, making this an excellent time to join their journey.

They are building something special-scaling the business while maintaining a strong people-first approach. Investment in their teams is a key priority, creating an environment where development is encouraged and individuals are supported to grow with the organisation.

Their culture sets them apart from other consulting practices, and they are looking to build a team that is equally ambitious.

Position Overview

Our client is seeking a Senior Data Engineer who thrives on building scalable, cloud-first data systems.

In this role, you will design and manage data pipelines that support analytics, AI, and automation across complex infrastructure programmes. Your work will play a key part in enabling data-driven transformation across critical UK industries.

Core Responsibilities

Design, build, and optimise data pipelines using Azure Data Factory, Synapse, and Databricks

Develop and maintain ETL/ELT workflows to ensure high data quality and reliability

Collaborate with analysts and AI engineers to deliver robust and reusable data products

Manage data lakes and warehouses using formats such as Delta Lake and Parquet

Implement best practices for data governance, performance, and security

Continuously evaluate and adopt new technologies to evolve the organisation's data platform

Provide technical guidance to junior engineers and contribute to team capability building

Technical Stack

Core:

Azure Data Factory

Azure Synapse Analytics

Azure Data Lake Storage Gen2

SQL Server

Databricks

Enhancements:

Python (PySpark, Pandas)

CI/CD (Azure DevOps)

Infrastructure as Code (Terraform, Bicep)

REST APIs

GitHub

ActionsDesirable:

Microsoft Fabric

Delta Live Tables

Power BI dataset automation

DataOps practices

What You'll Bring

Professional experience in data engineering or cloud data development

Strong understanding of data architecture, APIs, and modern data pipeline design

Hands-on experience within Microsoft's Azure ecosystem, with an interest in emerging technologies such as Fabric, AI-enhanced ETL, and real-time data streaming

Proven ability to lead technical workstreams and mentor junior team members

A strong alignment with the organisation's IDEAL values: Integrity, Drive, Empathy, Adaptability, and Loyalty

Ready to Apply?

This is a fantastic opportunity to join a forward-thinking organisation at a key stage of growth, working on impactful projects across critical industries.

If you're looking to take the next step in your career within a collaborative and innovative environment, we'd love to hear from you

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Engineering Jobs UK 2026: What to Expect Over the Next 3 Years

Data engineering has become one of the most strategically important disciplines in the entire technology sector — and one of the most reliably in-demand. Every organisation that wants to use data to make decisions, train AI models, personalise products, manage risk, or understand its customers depends on data engineers to build the infrastructure that makes any of that possible. Without well-designed, reliable data pipelines, the most sophisticated machine learning model is worthless and the most ambitious analytics strategy is undeliverable. That foundational importance has made data engineering hiring remarkably resilient through the technology market corrections of the past few years. Where headcount reductions fell heavily on some engineering disciplines, demand for data engineers held firm — because the work of building and maintaining data infrastructure cannot be deferred in the way that some product development can. The data keeps coming. The pipelines need to work. But the data engineering jobs market of 2026 is not simply a stable version of what it was three years ago. The discipline has undergone a series of architectural shifts — from batch to streaming, from on-premise data warehouses to cloud-native lakehouses, from hand-rolled pipelines to declarative transformation frameworks, and most recently toward AI-augmented data engineering workflows that are beginning to reshape what the role looks like in practice. The employers hiring data engineers today are asking for a meaningfully different skill set than those hiring three years ago. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which architectural patterns are becoming standard, which technologies are defining the modern data stack, and how the definition of a data engineering career is evolving toward a richer intersection of infrastructure, analytics, and AI enablement. This article breaks down what the UK data engineering jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.