National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Warehouse engineer

SF Recruitment (Tech)
Leeds
23 hours ago
Create job alert

Data Warehouse Engineer
Location: Newark
Salary: £35,000-£38,000
A well-established organisation in the Newark area is seeking a Data Warehouse Engineer to take ownership of its centralised data platform. With a current team member transitioning out at the end of July, this role is ideal for someone confident in SQL, data warehousing, and Power BI, who can hit the ground running in a collaborative, technically strong environment.
You'll join a close-knit data team and work alongside a colleague focused on reporting to deliver meaningful insights and maintain a robust, scalable data infrastructure. This position offers exposure to a wide range of ERP systems and an opportunity to shape the business's approach to data and reporting.
Key Responsibilities:
Manage and maintain the central data warehouse across multiple ERP platforms
Develop and optimise SQL queries to support reporting and data access
Build and maintain Power BI dashboards and visualisations
Collaborate with internal teams to understand reporting needs and translate them into data solutions
Ensure consistency, accuracy, and performance across data pipelines and warehouse models
Document and maintain clear data flows, models, and reporting logic
Requirements:
Strong experience with SQL (writing queries from scratch)
Proven ability to manage and optimise data warehouse environments
Hands-on experience with Power BI and related tools (e.g. DAX, Power Query)
Familiarity with ERP systems and large-scale, varied data sources
Some background in reporting and BI delivery
Excellent communication and problem-solving skills
This is a great opportunity for someone looking to take real ownership in a technically strong team, with the ability to directly influence reporting and data strategy from day one.


JBRP1_UKTJ

Related Jobs

View all jobs

Data Warehouse Engineer

Data Warehouse Engineer

Data Warehouse engineer

Data Warehouse engineer

Data Warehouse engineer

Data Warehouse engineer

National AI Awards 2025

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.