Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our data team to model, optimise, and apply data for better business decisions.
- Company: Be part of an innovative organisation focused on intelligent, insight-driven systems.
- Benefits: Enjoy hybrid working, gym access, CSR days, birthday leave, and more perks.
- Why this job: Make a real impact by shaping data strategies that drive smarter decisions.
- Qualifications: Expertise in SQL Server, AWS data services, Power BI, and Python required.
- Other info: Only one day per month in the Manchester office; collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
Location: Manchester (Hybrid – 1 day per month on-site)
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 in the Manchester office.
Interested? Apply now to be part of a team where your work directly drives smarter decisions and impactful outcomes.
Senior Data Engineer (SQL Server / AWS) employer: Adria Solutions Ltd
Contact Detail:
Adria Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (SQL Server / AWS)
✨Tip Number 1
Familiarise yourself with the specific SQL Server features mentioned in the job description, such as performance tuning and data warehousing. Being able to discuss these topics confidently during your conversations will show that you have the expertise they are looking for.
✨Tip Number 2
Make sure to highlight any experience you have with AWS data services, especially RDS and S3. If you can share examples of how you've built data pipelines in cloud-native environments, it will demonstrate your practical knowledge and make you stand out.
✨Tip Number 3
Prepare to discuss your experience with Power BI, particularly around performance optimisation and deployment strategies. Being able to articulate how you've used Power BI to drive business decisions will resonate well with the hiring team.
✨Tip Number 4
Showcase your collaborative skills by preparing examples of how you've worked with analysts and stakeholders to translate complex data problems into actionable solutions. This will highlight your ability to think like a data user, which is crucial for this role.
We think you need these skills to ace Senior Data Engineer (SQL Server / AWS)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in SQL Server and AWS data services. Include specific examples of performance tuning, data warehousing, and any relevant projects that demonstrate your ability to model and optimise data.
Craft a Compelling Cover Letter: In your cover letter, express your passion for leveraging data to drive business value. Mention your experience with Power BI and Python, and how you have collaborated with analysts and stakeholders to deliver real-world solutions.
Showcase Relevant Projects: If you have worked on dimensional/Kimball data models or have experience with CI/CD pipelines, be sure to include these in your application. Highlight any hands-on experience with SageMaker or similar platforms as a bonus.
Demonstrate Your Collaborative Skills: Since the role requires collaboration with various teams, provide examples in your application of how you have successfully worked with product owners and analysts to translate complex problems into actionable solutions.
How to prepare for a job interview at Adria Solutions Ltd
✨Showcase Your SQL Expertise
Since SQL Server is a major part of the role, be prepared to discuss your experience with performance tuning, data warehousing, and reporting. Bring examples of how you've optimised queries or improved data models in past projects.
✨Demonstrate AWS Knowledge
Familiarise yourself with AWS data services like RDS, S3, and Lambda. Be ready to explain how you've used these tools to build data pipelines and support cloud-native environments, as this will be crucial for the role.
✨Highlight Collaboration Skills
This position requires working closely with Data Analysts and stakeholders. Prepare to share specific instances where you've collaborated on data models or translated complex problems into actionable solutions.
✨Discuss Data Governance Understanding
Understanding Data Governance frameworks is essential. Be ready to talk about your experience implementing these frameworks and how they contribute to data quality and compliance in your previous roles.
