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.
The predicted salary is between 43200 - 72000 Β£ 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 β itβs 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.
Weβre looking for someone who:
- Thinks like a data user, not just a data builder β 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.
Contact Detail:
Adria Solutions Ltd. Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Data Engineer (Manchester)
β¨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 hands-on experience with these tools during an interview will demonstrate your expertise and readiness for the role.
β¨Tip Number 2
Showcase your understanding of AWS data services by preparing examples of how you've used RDS, S3, or Lambda in previous projects. This will help you stand out as someone who can effectively leverage cloud-native environments to build data pipelines.
β¨Tip Number 3
Highlight your collaborative skills by preparing anecdotes that illustrate how you've worked with Data Analysts and other stakeholders to deliver dimensional/Kimball data models. This will show that you not only have the technical skills but also the ability to work well in a team.
β¨Tip Number 4
Brush up on your Power BI skills, particularly around performance optimisation and deployment strategies. Being able to discuss specific instances where you've improved report performance will give you an edge in the interview process.
We think you need these skills to ace Senior Data Engineer (Manchester)
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your expertise in SQL Server, AWS data services, and Power BI. Use specific examples from your past experiences that demonstrate your ability to model and optimise data for business decisions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for leveraging data to deliver business value. Mention how your experience aligns with the company's needs and your understanding of data governance frameworks and CI/CD pipelines.
Showcase Relevant Projects: If you have worked on projects involving dimensional/Kimball data models or cloud-native data pipelines, be sure to include these in your application. Highlight your role and the impact of your contributions.
Demonstrate Collaboration Skills: Since the role requires collaboration with analysts and stakeholders, provide examples of how you've successfully worked in teams to translate complex data problems into actionable solutions.
How to prepare for a job interview at Adria Solutions Ltd.
β¨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 processes in previous roles.
β¨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 environments and how these experiences can benefit the company.
β¨Highlight Collaboration Skills
This role requires working closely with analysts and stakeholders. Prepare to share specific instances where you've successfully collaborated on projects, translating complex data problems into actionable solutions.
β¨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 in an organisation.