Analytical Data Engineer

Bennett & Game Recruitment
City of Westminster, Greater London
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Pontoon Warwick, United Kingdom

Data Engineer

Randstad Technologies Recruitment London, United Kingdom

Analytics Engineer

Randstad Sourceright Leeds, West Yorkshire, United Kingdom
£500 – £600 pd Hybrid

Analytics Engineer

Randstad Sourceright Sprowston, Norfolk, United Kingdom
£500 – £600 pd

Data Scientist - London, UK (Fully

Randstad Technologies Recruitment London, United Kingdom
£599 – £699 pd Remote

Data Analyst

Greencore Osberton, Nottinghamshire, United Kingdom
Posted
5 Sep 2025 (8 months ago)

We are seeking an Analytical Data Engineer to join a leading Analytics as a Service (AaaS) provider, supporting clients across energy management, predictive maintenance, HR, and finance. You will transform complex data from multiple sources into actionable insights, creating user-friendly data models and dashboards that empower clients to explore their data independently.

This client-facing role blends data analyst and data engineer skills, including requirement gathering, stakeholder communication, and delivering robust data solutions. Hands-on experience with Power BI, Sisense, Quicksight, and AWS (Sagemaker Unified Studio preferred) is highly desirable.

Offering a competitive salary, performance-based bonuses, and fully flexible remote working, this is a fantastic opportunity to shape and lead analytics projects from onboarding through delivery in a collaborative, fast-growing environment.

Analytical Data Engineer Job Overview

Cleanse and transform data sets to create one-to-many star schema models from multiple sources.
Define fact and dimension tables based on requirements, enabling users to drill down and explore data independently.
Proactively search for and review data sources, locating missing data, applying filters, and defining optimal formats for efficient querying.
Collaborate with business analysts to align data models with client processes, ensuring solutions are well maintained and supported.
Validate and test data models, incorporating formulas and business rules to ensure accurate outcomes.
Develop and deliver advanced analytical dashboards using Sisense, Quicksight, and Power BI, tailored to user needs.
Provide technical guidance on data structures from APIs to ensure alignment with star schema models.
Support the Lead Solutions Architect on best practices for go-live within client Microsoft environments.
Work directly with clients during onboarding, running workshops, gathering requirements, clarifying data queries, and communicating deliverables and timelines.
Partner with the data team to deliver, test, and deploy solutions into production. Analytical Data Engineer Job Requirements

Essential

2-5 years' experience in data modelling.
Advanced level in application-based data modelling and ETL.
Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation.
Proficiency in SQL and MySQL.
Experience with business intelligence tools: Power BI, Sisense, Quicksight.
Hands-on experience with ETL tools, ideally Sagemaker Unified Studio.
Ability to validate, test, and build data engineering solutions.
Strong communication skills with ability to translate between technical and non-technical stakeholders. Desirable

2-5 years' client-facing experience, including requirements gathering and stakeholder management.
Ability to embed dashboards and develop client-facing portals.
Familiarity with Python and R.
Experience with AWS Glue (extraction). Analytical Data Engineer Salary & Benefits

Salary: £40,000 - £50,000 (depending on experience)
Working hours: 9am-5pm flexible
Remote working (after onboarding & probation)
Holiday Package: 20 days +8BH
Bonuses based on performance
PensionBennett and Game Recruitment are a multi-disciplined technical recruitment agency based in Chichester, West Sussex operating across the UK with specialist teams covering a range of industries.

We are acting as a Recruitment Agency in relation to this vacancy, and in accordance with GDPR by applying you are granting us consent to process your data, contact you about the services we offer, and submit your CV for the role you have applied for

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.