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- 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, AWS data services, Power BI, and Python required.
- Other info: Only one day a month in the Manchester office; collaborate with analysts and stakeholders.
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.
- 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.
- 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.
Locations
Senior Data Engineer (SQL/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/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 ability to build data pipelines in these environments will set you apart from other candidates.
✨Tip Number 2
Demonstrate your understanding of data modelling by discussing any past experiences where you've successfully implemented dimensional or Kimball data models. Be ready to explain how these models contributed to better business decisions in your previous roles.
✨Tip Number 3
Showcase your collaboration 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.
✨Tip Number 4
If you have experience with Power BI, be prepared to discuss your performance optimisation strategies and deployment methods. Highlighting your proficiency in this area will demonstrate your capability to deliver impactful insights through data visualisation.
We think you need these skills to ace Senior Data Engineer (SQL/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 optimisation. Use specific examples to demonstrate how you've delivered business value through data.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how you think like a data user. Mention your collaborative experiences with analysts and stakeholders, and how you've translated complex problems into actionable solutions.
Showcase Relevant Projects: If you have hands-on experience with Power BI, Python, or CI/CD pipelines, be sure to include these in your application. Highlight specific projects where you've applied these skills to achieve tangible outcomes.
Highlight Continuous Learning: Mention any ongoing education or certifications related to data governance, machine learning, or cloud technologies. This shows your commitment to staying updated in the rapidly evolving field of data engineering.
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 in 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, as this will show your ability to work in cloud-native environments.
✨Collaborate and Communicate
This role requires strong collaboration with analysts and stakeholders. Prepare to discuss how you've worked with others to translate complex data problems into actionable solutions, highlighting your teamwork skills.
✨Understand Data Governance
Be ready to talk about your understanding of Data Governance frameworks. Share any experiences you have in implementing these frameworks, as it shows your commitment to maintaining data integrity and compliance.
