At a Glance
- Tasks: Join a dynamic team to model and optimise data for impactful 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-world 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 awaits!
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 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 (Manchester) 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 (Manchester)
✨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 your experience with these areas in detail during an interview will demonstrate your expertise and readiness for the role.
✨Tip Number 2
Showcase your experience with AWS data services by preparing examples of projects where you've used RDS, S3, or Lambda. Highlighting your ability to build data pipelines in cloud-native environments will set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your collaboration with Data Analysts on dimensional/Kimball data models. Being able to articulate how you've worked together to deliver insights will illustrate your teamwork skills and understanding of business needs.
✨Tip Number 4
Brush up on your knowledge of Data Governance frameworks and CI/CD pipelines. Being able to speak confidently about these topics will show that you are not only technically proficient but also understand the broader context of data management.
We think you need these skills to ace Senior Data Engineer (Manchester)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in SQL Server, AWS data services, and Power BI. Use specific examples of how you've modelled and optimised data to support business decisions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for leveraging data to deliver business value. Mention your collaborative experiences and how you think like a data user, not just a builder.
Showcase Relevant Projects: Include details of any relevant projects where you've delivered dimensional/Kimball data models or worked with CI/CD pipelines. This will demonstrate your hands-on experience and problem-solving skills.
Highlight Soft Skills: Emphasise your ability to collaborate with analysts and stakeholders. Provide examples of how you've translated complex problems into actionable solutions, showcasing your communication skills.
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 previous projects.
✨Demonstrate Cloud Knowledge
Familiarise yourself with AWS data services, especially RDS, S3, and Lambda. Be ready to explain how you've built data pipelines in cloud-native environments and how these experiences can benefit the company.
✨Highlight Collaboration Skills
This role requires working closely with analysts and stakeholders. Prepare to share specific instances where you've successfully collaborated on data models or projects, showcasing your ability to translate complex problems into actionable solutions.
✨Discuss Data Governance Understanding
Understanding Data Governance frameworks is crucial. Be prepared to talk about your experience implementing these frameworks and how they contribute to better data management and compliance within an organisation.