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For Companies At a Glance
- Tasks: Design and build databases, pipelines, and data models for a new Data Warehouse.
- Company: Join a leading company in a transformative phase of technical change.
- Benefits: Autonomy, modern tools, and the chance to make a real impact.
- Why this job: Shape the future of data with cutting-edge technology and collaborative teams.
- Qualifications: Strong SQL Server skills and experience in data warehousing; willingness to learn Microsoft Fabric.
- Other info: Exciting opportunity for career growth in the latest data technology.
The predicted salary is between 36000 - 60000 £ per year.
We’re partnering with a leader in their field during an exciting time of technical change by building a completely new data platform and moving their estate into Microsoft Fabric. They’re creating a brand-new Data Engineer position to shape this platform, design the warehouse, and influence how data flows across multiple businesses. If you enjoy ownership, modern tooling, and solving real technical problems, this role offers the autonomy and impact most engineers look for.
Why this role stands out
- You’ll design and develop the core data models, pipelines, and structures that support a brand-new Data Warehouse.
- This isn’t a legacy clean-up job, you’ll be trusted to build things the right way from day one.
- You’ll be closely involved in the rollout of Fabric alongside an external consultancy team.
- If you already know Fabric, great. If not, strong SQL Server and Azure/Databricks experience transfers perfectly, and you’ll get full support to upskill.
- You’ll work alongside Data, Development and IT colleagues, as well as external consultants.
- You’ll be the go-to person for shaping pipelines, optimising SQL, and ensuring data quality.
What you’ll be doing day-to-day
- Designing and building databases, pipelines, and ingestion flows
- Developing clean, robust data models and ensuring data quality
- Maintaining SQL Server environments (T-SQL, SSIS/SSRS/SSMS)
- Supporting and optimising Power BI and SQL reporting
- Troubleshooting performance issues and tuning queries
- Working across teams to ensure reliable, accurate, well-structured data
- Documenting processes, improving standards, and helping shape best practice
What they’re looking for
- Strong SQL Server skills (T-SQL, stored procedures, query optimisation)
- Experience in data warehousing, modelling, and ETL/ELT processes
- Microsoft Fabric experience or solid Azure/Databricks background with a willingness to learn Fabric
- Someone who enjoys solving problems, collaborating, and taking ownership of their work
This is a genuinely brilliant opportunity to work in the latest data technology, on a project that will bring a hugely positive impact during the company's next phase.
Locations
Data Engineer in Stowmarket, Suffolk employer: Synergy Resourcing Solutions Limited
Contact Detail:
Synergy Resourcing Solutions Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Stowmarket, Suffolk
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 data models, pipelines, and any projects you've worked on. This is your chance to demonstrate your expertise and passion for data engineering beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on SQL Server and Azure/Databricks. Be ready to discuss how you've tackled real technical problems in the past. We want to see your problem-solving skills in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team and being part of this exciting project.
We think you need these skills to ace Data Engineer in Stowmarket, Suffolk
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 SQL Server expertise, data warehousing experience, and any relevant projects you've worked on. We want to see how you can contribute to building our new data platform!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and explain why you're excited about this opportunity. Let us know how your background aligns with the responsibilities of designing and developing data models and pipelines.
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've tackled technical challenges. We love candidates who enjoy solving problems and taking ownership, so share those stories that demonstrate your ability to optimise SQL and ensure data quality.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and it helps us keep track of your application. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at Synergy Resourcing Solutions Limited
✨Know Your Data Stuff
Make sure you brush up on your SQL Server skills, especially T-SQL and query optimisation. Be ready to discuss your experience with data warehousing and ETL/ELT processes, as these are crucial for the role.
✨Familiarise Yourself with Microsoft Fabric
If you’re not already familiar with Microsoft Fabric, take some time to learn the basics. Even if you have a strong background in Azure or Databricks, showing that you’ve made an effort to understand Fabric will impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled technical challenges in the past. This role is all about solving real problems, so be ready to share specific instances where you took ownership and delivered results.
✨Collaboration is Key
Since you'll be working closely with various teams, highlight your teamwork experiences. Discuss how you’ve collaborated with others to ensure data quality and reliability, as this will demonstrate your ability to fit into their culture.
