Future Tech Jobs Future Tech Jobs

Trading Data Engineer

Frossell Recruitment
Abingdon, OX14 5BH, United Kingdom
2 weeks ago
£55,000 pa
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Tatton Recruitment South Bank, London, SE1 9PZ, United Kingdom

Data Engineer

CBSbutler Holdings Limited trading as CBSbutler Telford, Shropshire, SY2 5TN, United Kingdom
£400 – £450 pd Hybrid Clearance Required

Data Engineer (Talend & Unix Specialist)

CBSbutler Holdings Limited trading as CBSbutler Telford, Shropshire, SY2 5TN, United Kingdom
£400 – £450 pd Hybrid Clearance Required

Data Engineer - SC Cleared

CBSbutler Holdings Limited trading as CBSbutler Hudswell, Wiltshire, Wiltshire, United Kingdom
£450 – £500 pd Hybrid Clearance Required

Data Engineering Lead

Tatton Recruitment South Bank, London, SE1 9PZ, United Kingdom
£750 – £800 pd

Pricing Analytics Engineer

Datatech Bristol, Bristol (county), United Kingdom
Hybrid

Salary

£55,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (2 weeks ago)

Benefits

Performance bonus Clear career path Shift allowance 25 days’ annual leave plus bank holidays Pension scheme Simplyhealth health cashback plan 24/7 private gp access Flexible working arrangements Ongoing training and development opportunities Salary sacrifice electric vehicle (ev) scheme Discounts on lightwave rf smart home products
Share
Save job
Create job alert

Trading Data Engineer

Abingdon, Oxfordshire (Hybrid - 1-2 days per week in office)

Up to £55,000 DOE + Bonus + Excellent Benefits

Applicants must be within a 1 hour 30 minute commute of Abingdon.

Due to significant company growth, a newly created and exciting opportunity has arisen for aTrading Data Engineer to join a fast-growing energy business supporting its live Trading desk. This role sits at the intersection of data engineering and energy trading, giving you the opportunity to build robust data pipelines, improve data reliability and have a direct impact on trading operations.

This position would suit someone who enjoys taking ownership of systems, working autonomously and continuously improving processes to make data pipelines more efficient, reliable and scalable.

Key Responsibilities:

  • Build and maintain high-availability data pipelines for energy market data using Python, SQL and Spark.
  • Support data flows ensuring generation and storage assets deliver the correct contracted schedules.
  • Design and manage Delta Lake tables and SQL databases, applying strong data modelling and optimisation strategies.
  • Develop monitoring dashboards and alerting to ensure transparency around pipeline health and data freshness.
  • Implement data validation and reconciliation checks across multiple market data sources.
  • Optimise pipeline performance and manage compute costs through efficient Spark and SQL design
  • Produce clear documentation for data schemas, pipelines and operational processes.
  • Contribute to Git-based development workflows and CI/CD pipelines.
  • Support internal teams by ensuring settlement and industry data is delivered accurately and reliably.

Key skills & Requirements:

Essential

  • 2-5 years’ experience in data engineering or a similar production-focused role
  • Strong Python (Pandas) and SQL skills
  • Experience building and maintaining data pipelines
  • Hands-on experience with Spark, Databricks or Delta Lake / Lakehouse architectures
  • Familiarity with cloud data platforms, particularly within Azure environments
  • Good understanding of data modelling, storage formats and performance optimisation
  • Experience working with Git and CI/CD pipelines
  • Comfortable working in environments where data reliability is business critical
  • A proactive mindset with the ability to take ownership and work autonomously

Desirable

  • Exposure to energy markets, trading systems or financial market data
  • Experience with Microsoft Azure services (e.g. Function Apps)
  • Experience integrating REST APIs or event-driven data
  • Familiarity with orchestration tools such as Azure Data Factory
  • Basic awareness of trading concepts such as positions, P&L or market schedules

Benefits:

  • Performance Bonus
  • Clear career path
  • Shift allowance
  • 25 days’ annual leave plus bank holidays.
  • Pension Scheme.
  • SimplyHealth health cashback plan.
  • 24/7 Private GP access.
  • Flexible working arrangements.
  • Ongoing Training and Development opportunities.
  • Salary sacrifice Electric Vehicle (EV) scheme.
  • Discounts on Lightwave RF smart home products.

Industry Insights

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

Products

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

Where to advertise data engineering jobs UK in 2026: the specialist boards and channels that reach Spark, dbt, Snowflake and platform engineering talent. 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.

Jobs

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.

Jobs

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

New Data Engineering Employers to Watch in 2026: a UK and global shortlist of data platform companies hiring data engineers, pipeline and lakehouse specialists. 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.

🍪 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.