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- Tasks: Design and deliver innovative data solutions using Azure and Power BI.
- Company: Growth-focused organisation expanding its data capabilities.
- Benefits: Competitive salary, hybrid work model, and opportunities for career advancement.
- Why this job: Shape strategic data solutions and make a real impact on decision-making.
- Qualifications: Proficiency in Azure Data Factory, Power BI, and strong analytical skills.
- Other info: Mentor junior team members and promote a culture of data excellence.
The predicted salary is between 55000 - 65000 £ per year.
An innovative, growth‑focused organisation that is actively expanding its data capabilities seeks a Senior Data Engineer to play a pivotal role in shaping and delivering strategic data solutions that power smarter decision‑making across the business. This is more than just building dashboards; you will be architecting scalable, innovative data solutions within the Azure ecosystem, collaborating with senior stakeholders, and contributing to a data‑driven culture.
Key Responsibilities
- Design, develop, and deliver end‑to‑end Power BI dashboards and data solutions in the Azure Cloud
- Work closely with both technical teams and business stakeholders to bring BI products to life
- Translate business requirements into actionable and efficient technical solutions using Agile methodologies
- Build and maintain robust, scalable data models and data architecture
- Utilise the data warehouse to drive self‑service analytics and business insight
- Ensure compliance with data governance, security, and regulatory standards (e.g., GDPR)
- Mentor junior team members and promote a culture of data excellence
- Continuously identify opportunities for improving data quality, reliability, automation, and reusability
Experience & Skills Required
- Proven proficiency in Azure Data Factory and Azure SQL (essential)
- Proven expertise with Power BI and a strong eye for intuitive, user‑friendly data visualisation
- Solid understanding of data warehouse design including planning and development
- Experience managing senior stakeholders and translating their needs into technical solutions
- Strong analytical skills and attention to detail
- Clear, effective written and verbal communication skills
- Proven experience working in Agile environments as well as Azure DevOps
- A degree in a relevant field or equivalent professional experience
Additional Information
- Hybrid working: Only 1 day per week required in the Birmingham office
- You must have the right to work in the UK – unfortunately, sponsorship is not available now or in the future
Ready to take the next step in your career? This is a great opportunity to lead end‑to‑end data development and collaborate across technical and non‑technical teams while making a real, measurable impact. Apply today to find out more.
Senior Data Engineer employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and data solutions. This visual evidence of your expertise can really set you apart during interviews.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of data governance and Agile methodologies. Being able to discuss these topics confidently will impress potential employers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s the best way to ensure your application gets noticed!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Azure Data Factory, Power BI, and any relevant projects that showcase your skills in data architecture and visualisation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at StudySmarter. Don’t forget to mention your experience with Agile methodologies!
Showcase Your Communication Skills: Since you'll be working closely with both technical teams and business stakeholders, it's crucial to demonstrate your clear communication skills. Use examples in your application that show how you've successfully translated complex data needs into actionable solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at Datatech Analytics
✨Know Your Azure Inside Out
Make sure you brush up on your Azure Data Factory and Azure SQL skills. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them. This will show that you not only know the tech but can also apply it effectively.
✨Showcase Your BI Expertise
Prepare to talk about your experience with Power BI and data visualisation. Bring examples of dashboards you've created and be ready to explain your design choices. Highlight how your work has driven business insights and improved decision-making.
✨Communicate Like a Pro
Since you'll be working closely with senior stakeholders, practice explaining complex technical concepts in simple terms. Think of scenarios where you've successfully translated business needs into technical solutions, and be prepared to share those stories during the interview.
✨Emphasise Your Agile Experience
Familiarise yourself with Agile methodologies if you haven't already. Be ready to discuss how you've contributed to Agile teams in the past, including any specific roles you've played and how you've helped improve processes or outcomes.
