At a Glance
- Tasks: Leverage data to drive business value and optimise data for analytical use.
- Company: Join a growing, innovation-led organisation focused on intelligent systems.
- Benefits: Enjoy hybrid working, gym access, CSR days, and birthday leave.
- Other info: Work in a dynamic environment with opportunities for professional growth.
- Why this job: Make a real impact by shaping data strategies that drive smarter decisions.
- Qualifications: Expertise in SQL Server, AWS data services, and strong collaboration skills.
The predicted salary is between 60000 - 80000 £ per year.
My client is looking for a Senior Data Engineer to join their expanding data team. This is an excellent opportunity for someone who thrives in a collaborative, insight-driven environment and is passionate about leveraging data to deliver tangible business value. This is not a role for someone just moving data from A to B with Python — it’s for someone who understands how to model, optimise, and apply data to support better business decisions.
Key Experience Required:
- Expertise in SQL Server (approx. 75% of the role) including performance tuning, data warehousing, and reporting.
- Experience with AWS data services (approx. 25%), particularly RDS, S3, Lambda, EventBridge, and building data pipelines in cloud-native environments.
- Proven delivery of dimensional/Kimball data models in collaboration with Data Analysts.
- Strong proficiency with Power BI, including performance optimisation and deployment strategies.
- Hands-on experience with Python for automation and data transformation (not just file handling).
- Understanding and experience of Data Governance frameworks and implementation.
- Exposure to CI/CD pipelines and source control for reports and analytics.
- Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms.
We're looking for someone who:
- Thinks like a data user, not just a data builder – with a strong sense of how to deliver real-world business outcomes.
- Is confident shaping and optimising data for analytical consumption.
- Collaborates well with analysts, product owners, and stakeholders to translate problems into solutions.
Why Join?
- Be part of a growing, innovation-led organisation committed to building intelligent, insight-driven systems.
- Access excellent benefits including hybrid working, on-site gym, CSR days, birthday leave, and more.
- Contribute to a high-impact, forward-looking data strategy with genuine business engagement.
Hybrid working policy: This role is classed as hybrid, with the expectation of just one day per month/quarter in the Manchester office.
Interested? Apply now to be part of a team where your work directly drives smarter decisions and impactful outcomes.
Remote Senior Data Engineer SQL Server / AWS in Suffolk employer: Adria Solutions
Join a forward-thinking organisation that values collaboration and innovation, where your expertise as a Senior Data Engineer will directly influence strategic business decisions. Enjoy a supportive work culture with excellent benefits such as hybrid working, an on-site gym, and dedicated CSR days, all while contributing to a high-impact data strategy. With opportunities for professional growth and a commitment to employee well-being, this is an ideal environment for those passionate about leveraging data for meaningful outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Data Engineer SQL Server / AWS in Suffolk
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL Server projects, AWS data pipelines, and any Power BI dashboards you've built. This will give potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of data governance frameworks and be ready to discuss how you've optimised data for business outcomes. Practice common interview questions with a friend or use mock interview platforms.
✨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 innovative team.
We think you need these skills to ace Remote Senior Data Engineer SQL Server / AWS in Suffolk
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your SQL Server expertise and AWS experience. We want to see how you've modelled and optimised data in previous roles, so don’t hold back on those details!
Showcase Your Projects:Include specific examples of projects where you’ve delivered dimensional/Kimball data models or collaborated with Data Analysts. This helps us understand your hands-on experience and how you think like a data user.
Be Clear and Concise:When writing your cover letter, keep it straightforward. We appreciate clarity, so explain how your skills align with our needs without fluff. Remember, we’re looking for someone who can deliver real-world business outcomes!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our growing data team.
How to prepare for a job interview at Adria Solutions
✨Know Your SQL Inside Out
Since SQL Server is a major part of the role, make sure you brush up on performance tuning, data warehousing, and reporting. Be ready to discuss specific projects where you've optimised queries or improved data models. This will show your depth of knowledge and practical experience.
✨Showcase Your AWS Skills
Familiarise yourself with AWS data services like RDS, S3, and Lambda. Prepare examples of how you've built data pipelines in cloud environments. Highlight any experience with CI/CD pipelines as well, as this will demonstrate your ability to work in modern data engineering practices.
✨Collaborate and Communicate
This role requires strong collaboration with analysts and stakeholders. Think of examples where you've successfully translated complex data problems into actionable solutions. Emphasise your communication skills and how you’ve worked in teams to drive business outcomes.
✨Be Ready for Technical Questions
Expect technical questions that test your understanding of data governance frameworks and dimensional modelling. Brush up on your Python skills too, especially around automation and data transformation. Being able to articulate your thought process will impress the interviewers.
