Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Analytical Data Engineer

City of Westminster
5 days ago
Create job alert

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, Sagemaker or Unified Studio (one of required).
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: £35,000 - £42,000.
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

Related Jobs

View all jobs

Senior Data Engineer

Lead Data Engineer

Senior Data Engineer

Data Architect

Data Engineer - 12 month FTC

Data Engineer – Snowflake/Snowpark

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.