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- Tasks: Design and deliver scalable data pipelines and build insightful dashboards.
- Company: Join a leading healthcare organisation transforming data and AI solutions.
- Benefits: Competitive salary, strong pension, 25 days leave, and a bonus scheme.
- Why this job: Shape the future of healthcare with impactful data projects and modern tech.
- Qualifications: 7-8 years in data engineering, advanced Python and SQL skills required.
- Other info: Enjoy hybrid working in a supportive, collaborative environment.
The predicted salary is between 60000 - 84000 ÂŁ per year.
This organisation builds and manages critical healthcare infrastructure used by communities across the UK. As data becomes central to decision‑making and innovation, they’re investing heavily in modern platforms and AI‑led solutions. This role sits at the heart of that transformation.
Role Overview:
- Location: Altrincham
- Package: ÂŁ75,000 + benefits (Strong pension / 25 days annual leave / discretionary bonus scheme etc)
- Industry: Healthcare / Property / Real Estate
What You’ll Be Doing:
- Designing and delivering scalable, real‑time and batch data pipelines across multiple source systems
- Owning and evolving a high‑performance data warehouse that supports analytics, reporting and AI use cases
- Building clear, insightful Power BI dashboards used by senior stakeholders
- Developing ETL/ELT processes using Azure‑native tools including Data Factory, Functions and Logic Apps
- Working hands‑on with Python and SQL to transform, enrich and analyse large datasets
- Creating AI‑driven solutions using OpenAI APIs, including intelligent automation and post‑sales call auditing
- Partnering with analysts, product leaders and data specialists to align data architecture with business goals
- Monitoring pipeline health, performance and data quality across the platform
- Embedding best practice around data governance, security and compliance
Main Skills Needed:
- Strong background in data engineering or data architecture (around 7–8 years’ experience)
- Proven experience building and maintaining complex ETL/ELT pipelines
- Advanced Python and SQL skills
- Solid hands‑on experience with Azure data services (Data Factory, Synapse, Data Lake, Functions, Logic Apps)
- Power BI data modelling and dashboard development expertise
- Practical experience using OpenAI APIs or similar AI/ML services
- Deep understanding of data warehousing concepts and architectures
- Confident communicator with strong analytical and problem‑solving skills
What’s in It for You:
- A senior, influential role shaping how data and AI are used across the business
- Exposure to meaningful projects that support healthcare services nationwide
- The chance to work with modern Azure tooling and emerging AI technologies
- A collaborative, close‑knit environment where your impact is visible
- Hybrid working and a supportive, forward‑thinking culture
Careers move fast. Let’s make sure yours is heading the right way. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Senior Data Engineer in Altrincham employer: Addition+
Contact Detail:
Addition+ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Altrincham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Azure and AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s mission. Be ready to discuss how your experience aligns with their goals, especially in healthcare and data innovation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer in Altrincham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your data engineering background, especially with Azure services and ETL/ELT processes. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and healthcare. Share specific examples of your past projects that align with what we do at StudySmarter, and show us your personality!
Showcase Your Technical Skills: Don’t hold back on your technical prowess! Be sure to mention your experience with Python, SQL, and Power BI. If you've worked with OpenAI APIs or similar technologies, let us know how you've used them to drive results.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy!
How to prepare for a job interview at Addition+
✨Know Your Data Inside Out
Make sure you’re well-versed in the data engineering concepts relevant to the role. Brush up on your experience with ETL/ELT processes, especially using Azure tools like Data Factory and Functions. Be ready to discuss specific projects where you’ve designed scalable data pipelines or built data warehouses.
✨Showcase Your Technical Skills
Prepare to demonstrate your advanced Python and SQL skills during the interview. You might be asked to solve a problem on the spot, so practice coding challenges that involve data transformation and analysis. Highlight any experience you have with Power BI dashboards and how they’ve impacted decision-making.
✨Align with Business Goals
Understand how data architecture supports business objectives, particularly in healthcare. Be prepared to discuss how your previous work has aligned data solutions with organisational goals. This shows you’re not just a techie but also a strategic thinker who can partner effectively with analysts and product leaders.
✨Emphasise Communication Skills
As a Senior Data Engineer, you’ll need to communicate complex ideas clearly. Practice explaining your past projects in simple terms, focusing on the impact of your work. Being a confident communicator will help you stand out, especially when discussing how you ensure data quality and governance.
