Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our data team to model and optimise data for better business decisions.
- Company: Be part of an innovative organisation focused on insight-driven systems.
- Benefits: Enjoy hybrid working, an on-site gym, CSR days, and birthday leave.
- 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 Power BI skills required.
- Other info: Work hybrid with just one day a month in the Manchester office.
The predicted salary is between 43200 - 72000 £ 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.
Contact Detail:
Adria Solutions 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 AWS data services mentioned in the job description, such as RDS, S3, and Lambda. Having hands-on experience or projects that showcase your skills with these tools will make you stand out during discussions.
✨Tip Number 2
Prepare to discuss your experience with SQL Server in detail, especially around performance tuning and data warehousing. Be ready to share examples of how you've optimised queries or improved reporting processes in previous roles.
✨Tip Number 3
Showcase your collaborative skills by thinking of examples where you've worked closely with Data Analysts or product owners. Highlight how you translated complex data problems into actionable solutions that benefited the business.
✨Tip Number 4
Brush up on your knowledge of Data Governance frameworks and CI/CD pipelines. Being able to discuss how you've implemented these in past projects will demonstrate your comprehensive understanding of the data engineering landscape.
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, AWS data services, and any relevant experience with data modelling and performance tuning. Use specific examples to demonstrate how you've applied these skills in previous roles.
Craft a Compelling Cover Letter: In your cover letter, express your passion for leveraging data to drive business value. Mention your collaborative approach and how you can contribute to the company's data strategy. Be sure to align your experiences with the key requirements listed in the job description.
Showcase Relevant Projects: If you have worked on projects involving dimensional/Kimball data models or have experience with Power BI, include these in your application. Describe your role in these projects and the impact they had on business outcomes.
Highlight Soft Skills: The role requires collaboration with analysts and stakeholders. Make sure to highlight your communication skills and ability to translate complex data problems into actionable solutions. This will show that you think like a data user, not just a builder.
How to prepare for a job interview at Adria Solutions
✨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 previous 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 business decisions in cloud environments.
✨Highlight Collaboration Skills
This role requires working closely with analysts and stakeholders. Prepare to share examples of how you've collaborated on data projects, translating complex problems into actionable solutions that drive business value.
✨Discuss Data Governance Understanding
Understanding data governance frameworks is crucial. Be ready to talk about your experience implementing these frameworks and how they contribute to data quality and compliance in your projects.
