At a Glance
- Tasks: Design and build robust data pipelines and integrations for impactful analytics.
- Company: Join a forward-thinking, data-driven organisation in Chippenham.
- Benefits: Hands-on experience with Microsoft Fabric and opportunities for growth.
- Other info: Supportive environment with a blend of project delivery and operational impact.
- Why this job: Make a real impact while modernising data architecture and improving systems.
- Qualifications: Experience in data engineering and a passion for problem-solving.
The predicted salary is between 35000 - 45000 £ per year.
We are working with a forward-thinking, data-driven organisation looking to hire a Data Engineer to join their growing technology team. This is a fantastic opportunity for someone with a few years of experience who wants to deepen their expertise and progress into Microsoft Fabric, working on modern data platforms and scalable integration solutions.
What You’ll Be Doing
- You’ll play a key role in designing, building, and supporting robust data pipelines and system integrations that power business-critical analytics and operations.
- Key areas include:
- Building and maintaining ETL/ELT pipelines for structured, reliable data
- Developing integrations using REST APIs across multiple platforms
- Designing automated workflows to reduce manual processes
- Working with Microsoft Fabric to ingest, transform, and publish datasets
- Supporting and improving existing data solutions (BAU + project work)
- Ensuring data quality, validation, and error handling
- Collaborating with stakeholders to deliver scalable, future-proof solutions
Tech Stack & Experience
- We are looking for someone comfortable working across a modern Microsoft data ecosystem:
- SQL Server (T-SQL, stored procedures, performance tuning)
- Microsoft Fabric (Dataflows, Power Query, Data Warehouse) or a strong desire to grow into it
- Azure (Logic Apps, Function Apps)
- APIs & data formats (JSON, XML, CSV)
- Scripting / programming: Python, T-SQL, VBScript (bonus: PowerShell, Node.js, DAX)
- Understanding of automation, scheduling, and orchestration
- Exposure to SAP Business One is a plus
Why This Role?
- Clear opportunity to build hands-on experience with Microsoft Fabric
- Work on modernising data architecture and integration patterns
- Blend of project delivery + real-world operational impact
- Influence automation and efficiency across the business
- Supportive environment with scope to learn, grow, and take ownership
Who This Suits
- An early-career to mid-level data/integration engineer
- Someone who enjoys problem-solving and improving systems
- A professional looking to step into next-gen data platforms (Fabric)
- A strong communicator who can bridge technical and business teams
If you're interested in taking the next step in your data engineering career and want to build expertise in Microsoft Fabric, apply now or get in touch to learn more.
Data Engineer - Onsite. Job in Chippenham LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
Join a forward-thinking, data-driven organisation in Chippenham that prioritises employee growth and development. With a supportive work culture, you will have the opportunity to deepen your expertise in Microsoft Fabric while working on modern data platforms and scalable integration solutions. Enjoy a blend of project delivery and operational impact, all within a collaborative environment that encourages innovation and efficiency.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Onsite. Job in Chippenham LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ETL/ELT pipelines or Microsoft Fabric. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with SQL Server, APIs, and automation. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer - Onsite. Job in Chippenham LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your experience with ETL/ELT pipelines, Microsoft Fabric, and any relevant programming languages like Python or T-SQL.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this opportunity. Share specific examples of how you've tackled data challenges in the past and how you can contribute to our team.
Showcase Your Problem-Solving Skills:In your application, mention instances where you've improved systems or processes. We love candidates who can demonstrate their ability to solve problems and enhance efficiency.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially SQL Server and Microsoft Fabric. Brush up on your T-SQL skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data engineering. Think about specific instances where you improved a process or solved a complex problem, particularly involving ETL/ELT pipelines or API integrations.
✨Communicate Clearly
Since this role requires collaboration with stakeholders, practice explaining technical concepts in simple terms. Be ready to demonstrate how you can bridge the gap between technical and business teams during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data architecture and future projects. This shows your genuine interest in the role and helps you understand how you can contribute to their goals, especially regarding automation and efficiency.
