Data Warehouse Engineer

St Albans
10 months ago
Applications closed

Related Jobs

View all jobs

Data Warehouse Engineer - 6 Month FTC

BI/Data Engineer

Data Engineer

Data Warehouse Manager

Data Engineer

Senior Data Engineer

Job Title: Data Warehouse Engineer
Job Type: Permanent
Work Type: Hybrid
Industry: FMCG/IT
Job Location: St Albans
Salary: £70,000 to £90,000 per annum + 10% Bonus + Car Allowance + Private Medical

Profile – Data Warehouse Engineer

Our client is a leading figurehead in the UK food sector, with an unparalleled pedigree dating back to the early 18th century. They are currently seeking a Data Warehouse Manager to support their data and analytics department as the company continues to heavily invest and undertake a sustain period of IT transformation.

Job Role – Data Warehouse Engineer

Reporting to the Head of Insights and Intelligent Automation the Data Warehouse Engineer is responsible for driving the data and analytics strategy for the company. Ensuring alignment with business goals and objectives.

The Data Warehouse Engineer shall play a key role in shaping the data and analytics strategy and to contribute to driving business performance through effective data-driven decision-making.

Duties – Data Warehouse Engineer

• Lead the development and implementation of data and analytics solutions that drive business performance and decision-making.
• Work closely with the business partnering team to understand business requirements, design appropriate analytic solutions, and oversee the development and deployment of the solutions that support the requirements
• Deliver high-quality data and analytics solutions that meet business objectives.
• Work alongside a team of data professionals to foster a culture of continuous improvement and innovation.

Experience/Qualifications – Data Warehouse Engineer

• In depth experience with AWS Services (S3, Redshift, RDS)
• Proficiency in Matillion ETL
• Strong SQL skills
• Experience with data warehousing concepts and best practice
• Experience working in FMCG environment

Candidates who are currently a ETL Engineer, Data Architect, Data Warehouse Developer, Data Platform Engineer, Database Developer, Big Data Engineer and Data Warehouse Engineer could be suitable for this position.

To make an application for this role please submit your CV to (url removed) or for more information call (phone number removed).

For details of other opportunities available within your chose field please visit our website (url removed)

Omega is an employment agency specialising in opportunities at all levels within the Engineering, Manufacturing, Aerospace, Automotive, Electronics, Defence, Scientific, Energy & Renewables and Tech sectors

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.

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.