Data Engineer

CV-Library
Tower, Greater London, City and County of the City of London
13 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Experis Bath, Somerset, TA7 8PH, United Kingdom
£500 – £550 pd

Data Engineer

Experis Telford, Shropshire, SY2 5TN, United Kingdom
£430 – £483 pd

Data Engineer

South Norfolk and Broadland Council Whitlingham, Norfolk, United Kingdom
£42,287 – £47,191 pa Hybrid Clearance Required

Data Engineer

TXP Telford, Shropshire, SY2 5TN, United Kingdom
£540 – £541 pd Hybrid Clearance Required

Data Engineer

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

Data Engineer

Intelligent Steps London, United Kingdom
£500 – £600 pd Hybrid
Posted
28 Apr 2025 (13 months ago)

Data Engineer - Consultancy - Up to £600 per day (Inside IR35) - 6 Month Contract - Remote

Overview:
Join a leading consultancy, delivering innovative data-driven solutions for global clients. You’ll play a key role in developing and supporting enterprise-grade data platforms and services, ensuring high-quality data pipelines and enabling smarter business decision-making.

Key Responsibilities:

Design and develop homogenous data repositories for enterprise reporting and analytics.
Ingest data from SQL databases, REST APIs, Kafka streams and other sources.
Apply data cleansing rules to ensure high data quality standards.
Model data into a single source of truth using Kimball methodology (star schema, snowflake, etc.).
Develop high-quality code following DevOps and software engineering best practices, including testing and CI/CD.
Monitor and maintain business-critical pipelines, reacting to and resolving failures when required.
Collaborate with the data team to refine backlogs, plan sprints and continuously improve workflows.
Perform ad-hoc data analysis across structured and unstructured data sources to support solution design.
Document datasets in the data catalogue, including ownership, lineage, sensitivity and definitions.
Ensure compliance with GDPR and other data regulations when handling sensitive information.
Support the stability and performance of enterprise data platforms. 
Requirements:

Strong Azure data skills: Data Factory V2, Data Lake Storage V2, Databricks, Function Apps, Logic Apps, Stream Analytics, Terraform, Azure CLI/Portal/PowerShell.
Proficient with PySpark, Delta Lake, Unity Catalog and Python (including unit and integration testing).
Deep understanding of software development principles (SOLID, testing, CI/CD, version control).
Strong knowledge of Kimball data modelling.
Advanced SQL and data analysis skills.
Excellent written and verbal communication.
Proven ability to deliver under pressure while maintaining high standards.
Passion for technology and its impact on business outcomes. 
Package:

Day Rate: Up to £600 per day. (Inside IR35)
Initial 6 Month Contract (Very likely to be extended.)
Contract Basis: Fully Remote.
Consultancy environment: Innovative, fast-paced projects with cutting-edge technologies. 
Data Engineer - Consultancy - Up to £600 per day (Inside IR35) - 6 Month Contract - Remote

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.