Senior Data Engineer

London, United Kingdom
3 weeks ago
Job Type
Contract
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
27 Apr 2026 (3 weeks ago)

Job title: Senior Data Engineer

Location: London - Hybrid 2/3 days on site

Duration: 6-12 months initially

This is for a Senior, Experienced Data Engineer role to support Strategic Platform build, as part of Integrated Financial Crime Programme

This role will be producing design and support for POC build this year.

Strong knowledge of data governance, metadata management, data quality, and data mesh concepts, with the ability to influence enterprise-wide adoption. Ability to communicate complex technical concepts clearly to senior leadership, influencing architectural and investment decisions.

Deep expertise in cloud data architecture and distributed computing paradigms, with strong hands‑on background in AWS data platforms, including Glue, Lambda, S3, Redshift, Athena, and Databricks.

Modern Data Stack: Understanding of data Lakehouse architectures (Delta Lake, Iceberg) & experience with containerization using Docker. Including architecture design, data modelling, workload optimization, and cost governance. Advanced knowledge of data modelling techniques, including dimensional modelling, schema evolution, and design patterns for analytics, reporting, and downstream consumption.

Exposure to real time and event‑driven architectures, including Apache Kafka, Spark Streaming, or similar technologies. Strategic understanding of DBT (Data Build Tool) and analytics engineering practices for scalable transformation and modelling.

Demonstrated ability to define and govern data architecture standards, reference architectures, and engineering frameworks across multiple teams. Strong understanding of cloud security, IAM, data access controls, and platform governance, with experience implementing fine grained data security using tools such as Immuta.

Advanced proficiency in Python, PySpark, and SQL, with the ability to guide teams on performance optimization and scalable design rather than individual contribution alone

Related Jobs

View all jobs

Senior Data Engineer

RSM London, United Kingdom
On-site

Senior Data Engineer

Experis London, United Kingdom
Hybrid

Senior Data Engineer

Opus Recruitment Solutions Bishopsgate, City And County Of the City Of London, EC2M 3UE, United Kingdom
£550 – £600 pd Hybrid

Senior Data Engineer

VIQU IT Fleet Street, City And County Of the City Of London, United Kingdom
£80,000 – £90,000 pa Hybrid

Senior Data Engineer

Gigaclear Shippon, Oxfordshire, United Kingdom
On-site

Senior Data Engineer

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

Industry Insights

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

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.

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.

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.