At a Glance
- Tasks: Design and build robust data pipelines and integrations for impactful analytics.
- Company: Forward-thinking, data-driven organisation with a focus on innovation.
- Benefits: Hands-on experience with Microsoft Fabric and opportunities for growth.
- Other info: Supportive environment with clear paths for career advancement.
- 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.
We’re 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.
- 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
- 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 in Chippenham employer: Chapman Tate Associates
Join a forward-thinking, data-driven organisation in Chippenham as a Data Engineer, where you'll have the opportunity to deepen your expertise in Microsoft Fabric and modern data platforms. With a supportive work culture that encourages learning and growth, you'll play a vital role in designing robust data solutions while enjoying a blend of project delivery and operational impact. This is an excellent employer for those looking to advance their careers in a collaborative environment that values innovation and efficiency.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Chippenham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ETL/ELT pipelines or Microsoft Fabric. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when solving problems, as this will demonstrate your analytical skills and how you approach challenges.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer in Chippenham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience and skills that match the job description. We want to see how your background aligns with the role of a Data Engineer, especially your work with ETL/ELT pipelines and Microsoft Fabric.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this opportunity. Share specific examples of your past projects and how they relate to the responsibilities listed in the job description. Show us your passion for data engineering!
Showcase Your Technical Skills:Don’t forget to mention your technical skills clearly! Highlight your experience with SQL Server, Azure, and any programming languages you know. We’re keen to see how you can contribute to our modern data ecosystem.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Chapman Tate Associates
✨Know Your Tech Stack
Make sure you’re familiar with the key 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 ETL processes or automated workflows, as this will demonstrate your ability to enhance systems.
✨Understand the Business Impact
Be ready to explain how your work as a Data Engineer can influence business outcomes. Discuss how robust data pipelines and integrations can drive analytics and operations, showing that you understand the bigger picture.
✨Communicate Effectively
Since the role requires collaboration with stakeholders, practice articulating technical concepts in simple terms. This will help you bridge the gap between technical and business teams, which is crucial for success in this position.
