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- Tasks: Transform complex business challenges into scalable data solutions and lead technical delivery.
- Company: Join a forward-thinking digital consultancy making an impact across sectors.
- Benefits: Enjoy ongoing training, private medical insurance, and a generous leave policy.
- Why this job: Shape data strategy and deliver user-focused solutions in a dynamic environment.
- Qualifications: Strong SQL and Python skills, with experience in modern data tooling and cloud platforms.
- Other info: Collaborate in Agile teams and enjoy excellent career growth opportunities.
The predicted salary is between 60000 - 80000 £ per year.
We are working with a forward-thinking digital consultancy that helps organisations across the public and private sectors deliver impactful technology solutions. Their work focuses on designing and building modern data platforms, products and services that create real value for end users. They are seeking a Senior Data Engineer who combines strong technical expertise with a consulting mindset. This role suits someone comfortable working with ambiguity, engaging directly with stakeholders, and translating complex business challenges into scalable, production-grade data solutions. In this hands-on position, you will lead technical delivery while collaborating with cross-functional teams. You will play a key role in shaping data strategy, guiding best practices, and delivering solutions that are robust, maintainable and user-focused.
Key Responsibilities
- Translate ambiguous business problems into clear data and technical solutions
- Design, build and maintain production-grade data pipelines and models
- Work across modern architectures (data warehouses, lakehouses, event-driven systems)
- Deliver solutions on cloud platforms (AWS and/or Azure) using best engineering practices
- Apply CI/CD, testing, and modular design to ensure high-quality delivery
- Embed data governance, security, and quality standards into all solutions
- Support analytics, experimentation, and AI/ML integration where appropriate
- Communicate insights through clear visualisations and stakeholder-ready materials
- Collaborate closely with users and stakeholders in Agile delivery environments
Skills & Experience
- Strong SQL and Python for data transformation, modelling and analysis
- Experience with modern data tooling (e.g. Spark/PySpark, Pandas, orchestration tools)
- Knowledge of cloud data platforms (e.g. Databricks, Redshift, Microsoft Fabric)
- Solid understanding of data architecture and modelling approaches
- Experience with BI/visualisation tools (e.g. Power BI, Tableau)
- Familiarity with software engineering best practices (Git, testing, CI/CD)
- Understanding of data governance, security and compliance considerations (e.g. GDPR)
- Practical exposure to AI/ML concepts and integration approaches
- Strong analytical thinking and attention to detail
- Consulting Mindset
- User-focused approach with an emphasis on delivering real-world impact
- Ability to communicate clearly in client-facing, ambiguous environments
- Experience producing high-quality presentations and documentation
- Strong problem-solving skills with a structured, logical approach
- Comfortable working iteratively in Agile teams and live service environments
Benefits
- Ongoing training and professional development opportunities
- Private medical insurance (including partner cover)
- Discretionary performance bonus
- 25 days annual leave plus additional personal days
- Pension scheme and life assurance
- Electric vehicle salary sacrifice scheme
Azure Data Engineer employer: True North Consulting Group Ltd
Contact Detail:
True North Consulting Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Azure or similar platforms. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to data engineering. Be ready to discuss how you've tackled ambiguous problems and delivered user-focused solutions in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Azure Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Azure Data Engineer. Highlight your experience with SQL, Python, and cloud platforms like AWS or Azure. We want to see how your skills align with the job description!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've tackled ambiguous business problems and delivered impactful data solutions.
Showcase Your Technical Skills: Don’t just list your technical skills; demonstrate them! Mention any projects where you designed data pipelines or worked with modern data tooling. We love seeing practical applications of your expertise.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at True North Consulting Group Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills, as well as any modern data tools like Spark or Pandas. Be ready to discuss how you've used these technologies in past projects, especially in building data pipelines or models.
✨Understand the Business Context
Since this role involves translating business challenges into data solutions, take some time to research the company and its clients. Think about how you can apply your technical skills to solve real-world problems they might face.
✨Showcase Your Consulting Mindset
Prepare examples that demonstrate your ability to engage with stakeholders and communicate complex ideas clearly. Highlight any experience you have in client-facing roles or Agile environments, as this will show you're comfortable working with ambiguity.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or design a data solution on the spot. Practice articulating your thought process clearly and logically, as this will showcase your analytical thinking and problem-solving skills.