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- Tasks: Join our data team to model and optimise data for better business decisions.
- Company: Be part of an innovative organisation focused on intelligent, insight-driven systems.
- Benefits: Enjoy hybrid working, on-site gym, 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, 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 48000 - 84000 £ 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.
Senior Data Engineer SQL Server / AWS employer: Adria Solutions
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 preparing examples of how you've worked with Data Analysts and other stakeholders to deliver data models. Highlight any successful projects where your contributions led to better business decisions.
✨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 roles 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 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 outcomes.
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 effective solutions.
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 specific 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 business decisions, as this will show your ability to work in cloud-native 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, particularly in delivering dimensional/Kimball data models, to illustrate your teamwork and communication skills.
✨Understand Data Governance
Be ready to discuss your understanding of Data Governance frameworks and how you've implemented them in previous roles. This knowledge is crucial for ensuring data quality and compliance, which are key aspects of the position.
