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- Tasks: Join our Digital Team to enhance data quality and deliver impactful business intelligence.
- Company: Community Housing, a leading social housing provider in Worcestershire.
- Benefits: Permanent full-time role with a supportive work environment and career growth.
- Why this job: Make a real difference by shaping data-driven decisions that support communities.
- Qualifications: A-Level/NVQ Level 4 in IT or data-related field, or equivalent experience.
- Other info: Collaborative culture focused on service improvement and community impact.
The predicted salary is between 30000 - 40000 £ per year.
We’re looking for a skilled Data Engineer to join our Digital Team and help shape the future of data at Community Housing. You’ll play a central part in delivering high‑quality business intelligence, analysis and reporting that drives decision‑making and supports our organisational goals. Working across the business and reporting to the Head of Digital, you’ll support both projects and business as usual activity - improving data quality, developing insightful reporting and enabling colleagues to access the information they need in clear, customer‑friendly formats.
What You’ll Be Doing
- Analyse and improve data quality across the business
- Collect, validate, interpret and present data in meaningful and customer‑friendly ways
- Develop accurate and engaging dashboards, reports and self‑serve tools, ensuring data is timely and reliable
- Identify and manage data sources and apply ETL methods
- Integrate, consolidate, migrate and cleanse data
- Support calculation of performance metrics and undertake data analysis
- Build Power BI reports and ensure consistency and accuracy across reporting
- Resolve data issues and contribute to strong data governance
- Develop relationships with data owners and data stewards to promote data integrity
- Provide insights by identifying trends, patterns and opportunities
- Work with colleagues across the business to enhance data literacy and drive improvements
- Maintain, review and enhance automated data extractions and support the evolution of the data warehouse
- Assist with reviewing performance indicators and identifying opportunities for automation
- Overcome technical challenges in a cost‑effective way, influencing better tools, technologies and practice
About You
- Communicates technical ideas clearly to technical and non‑technical colleagues
- Enjoys solving problems and designing effective solutions
- Brings experience of analysing complex datasets from multiple sources
- Has strong knowledge of BI tools (Power BI, SSRS, QlikView, ClearView, Insight)
- Understands database design and data modelling principles
- Can manage a busy workload with strong organisational skills
- Works collaboratively, builds credibility and influences constructively
- Is curious, analytical and eager to develop their technical skills further
- Holds A‑Level/NVQ Level 4 in an IT or data‑related field, or has equivalent experience
- Takes a customer‑focused approach and is committed to service improvement
If you feel you would be the right person for this role, simply click the ‘Apply Now’ button to start your application.
Data Engineer employer: Community Housing LTD
Contact Detail:
Community Housing LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Community Housing on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your BI tools knowledge, especially Power BI. Be ready to discuss how you've used these tools to solve real-world problems and improve data quality.
✨Tip Number 3
Show off your problem-solving skills! Think of examples where you've tackled complex datasets or improved reporting processes. This will demonstrate your analytical mindset and fit for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Engineer role. Highlight your experience with BI tools like Power BI and any relevant projects that showcase your data analysis skills. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your skills align with our goals at Community Housing. Let us know how you can help improve data quality and drive decision-making.
Showcase Your Problem-Solving Skills: In your application, share examples of how you've tackled complex data challenges in the past. We love candidates who can think critically and come up with effective solutions, so don’t hold back on those success stories!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at Community Housing!
How to prepare for a job interview at Community Housing LTD
✨Know Your Data Tools
Make sure you brush up on your knowledge of BI tools like Power BI, SSRS, and QlikView. Be ready to discuss how you've used these tools in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex datasets you've analysed and the solutions you've designed. Highlight your analytical thinking and how you’ve contributed to improving data quality or governance in previous roles.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You’ll need to demonstrate that you can communicate effectively with both technical and non-technical colleagues, so think of ways to simplify your explanations.
✨Emphasise Collaboration
Be ready to talk about how you've worked with others to enhance data literacy and drive improvements. Share specific instances where you built relationships with data owners or stewards to promote data integrity.