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Data Engineer

Reed
Me39Tx, ME3 9TX, United Kingdom
2 days ago
£60,000 – £65,000 pa

Salary

£60,000 – £65,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
29 May 2026 (2 days ago)
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Data Engineer

Python | AWS | Databricks

We’re working with a leading organisation operating at the forefront of the energy sector, playing a critical role in supporting the transition to a more sustainable, low-carbon future.

As the business continues to invest in its data capabilities, they are looking for aData Engineer to join their growingData Platform team. This is an opportunity to work in a complex, evolving environment where data is central to decision-making across trading, operations, and commercial functions.

The Role

You’ll be responsible for building and maintaining scalable data pipelines that power analytics and reporting across the organisation. Working within a modernDatabricks on AWS environment, you’ll help deliver reliable, high-quality data to support business insights.

Key Responsibilities

  • Build and maintainscalable ETL/ELT pipelines using Python and PySpark
  • Ingest and integrate data from multiple sources includingtrading, finance, and operational systems
  • Work within aDatabricks Lakehouse architecture to transform and deliver data
  • OptimiseSpark jobs for performance and cost efficiency
  • Implement and maintaindata quality, governance, and reliability standards
  • Support the full data lifecycle from ingestion through to reporting and insight delivery
  • Collaborate withBI teams and stakeholders to ensure data is accessible and usable

Key Skills & Experience

  • Strong experience inData Engineering (3–6 years)
  • Proficiency inPython and PySpark for large-scale data processing
  • Hands-on experience withDatabricks (Delta Lake, Workflows, Lakehouse architecture)
  • Solid knowledge ofAWS services (e.g. S3, Kinesis, Lambda, IAM)
  • Experience buildingproduction-grade data pipelines
  • Good understanding ofdata governance and data quality frameworks
  • Strong SQL skills and experience working with complex datasets

Desirable

  • Experience withinenergy, utilities, or similar complex industries
  • Exposure toCI/CD for data pipelines or modern data platform tooling

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

Data Engineering Jobs UK 2026: roles, salaries and the trends shaping UK data engineering hiring over the next three years — Spark, dbt, lakehouse and AI. 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.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Engineering roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.