Data Engineer

Sanctuary
Worcester
5 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer – Sanctuary

Worcester


£73,166 - £77,017 per year plus Company car or car allowance


35 hours per week – 9:00am to 5:00pm


This role sits in the Data Management Team as part of Technology which is responsible for delivering Technology capability within Sanctuary Group to ensure employees have access to the systems they need to perform their duties. This role reports into the Head of Data Engineering.


Responsibilities

  • Managing and delivering the continuous improvement of Sanctuary's enterprise data engineering capabilities
  • Full responsibility for the end-to-end ETL lifecycle across a complex SAP and non-SAP data landscape, responsible for defining, building and scaling a modern data platform aligned to business needs
  • Championing modern data engineering practices and shape the roadmap for data engineering initiatives ensuring resilience, availability, scalability, governance and performance to support Sanctuary's business goals
  • Partnering with Data Governance, Data Architecture, Data Enablement, BI and business teams to fully understand data requirements and build fit‑for‑purpose solutions

Skills and experiences

  • Understanding of SAP data structures and LSMW data uploads
  • Good understanding of SAP analytics product roadmap
  • Comprehensive experience managing Data Engineering initiatives in complex environments
  • Excellent organisational and planning skills

Why work for us?

We provide homes and care for more than 250,000 people in England and Scotland. Our customers are at the heart of all we do. With around 14,000 colleagues, we foster a diverse and inclusive culture, and nurture and reward talent.


Benefits

  • 25 days annual leave (rising to a maximum of 30 days) plus public holidays
  • A pension scheme with matching employer contributions from Sanctuary up to set limits
  • Life Assurance
  • Employee Advice Service including counselling
  • Cycle to Work scheme
  • Voluntary health plans
  • Wellbeing support and tools
  • Employee platform to access your reward and wellbeing package online, find exclusive discounts, wellbeing resources and recognition tools
  • Employee Networks, with a shared interest in inclusion, and who provide invaluable support to colleagues
  • Role salary is £54,197 with an additional policy allowance of £18,969 per annum (rising to £57,050 with an additional policy allowance of £19,967 per annum after 12 months, subject to satisfactory performance)

Seniority level

Not Applicable


Employment type

Full‑time


Job function

Information Technology


Industries

Non‑profit Organisations


#J-18808-Ljbffr

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.