At a Glance
- Tasks: Design and implement data solutions using Azure technologies for impactful projects.
- Company: Leading specialist care provider focused on digital transformation.
- Benefits: Up to £60,000 salary, comprehensive benefits, and hybrid work model.
- Other info: Opportunity for career growth in a dynamic and supportive environment.
- Why this job: Join a major data transformation journey and make a real difference in community care.
- Qualifications: Experience with Azure data engineering, ETL/ELT pipelines, and SQL development.
The predicted salary is between 60000 - 60000 £ per year.
Data Engineer
Up to £60,000 + Benefits
Birmingham (Hybrid - 2 x a month)This is a fantastic opportunity to join one of the UK's leading specialist care providers as they embark on a major data transformation journey.
You'll play a key role in building a modern Azure-based data platform, taking ownership of end-to-end data engineering projects that will directly support reporting, analytics, self-service data access, and future AI initiatives.
THE COMPANY: This care provider, delivers long-term, community-based care to individuals.
As part of an ongoing digital transformation, they are investing heavily in its data and analytics capabilities to create a scalable, future-proof data estate.
THE ROLE: You will take ownership of designing and delivering data solutions across a variety of business functions, helping to build a modern Microsoft data platform and support the development of reusable data services.
Key responsibilities include
- Designing and implementing end-to-end ETL/ELT pipelines from requirements gathering through to production deployment.
- Developing and maintaining scalable data models, transformations, and data products using modern Azure technologies.
- Optimising data pipelines to ensure high levels of performance, data quality, consistency, and availability.
- Supporting the development of an enterprise ontology model to improve understanding and relationships across data domains.
YOUR SKILLS AND EXPERIENCE: You will bring strong capability in
- Microsoft Azure data engineering technologies.
- Designing and developing ETL/ELT data pipelines.
- SQL development and data modelling.
- CI/CD processes and deployment best practices.
THE BENEFITS: You will receive a salary of up to £60,000 depending on experience, alongside a comprehensive benefits package and the opportunity to play a key role in a large-scale data transformation programme within a highly impactful organisation.
HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Data Engineer (Azure/Fabric) in Oxford employer: Jobiqo
Bromley Council is an exceptional employer, dedicated to fostering a supportive and inclusive work environment where employees can thrive. With a strong commitment to professional development, flexible working arrangements, and a generous benefits package, including a local government pension scheme and unique discounts, the Council prioritises employee well-being and career growth. Located in the vibrant Bromley Civic Centre, you will be part of a team that plays a crucial role in shaping the future of the borough while enjoying the balance of urban and suburban life.
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We think this is how you could land Data Engineer (Azure/Fabric) in Oxford
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We think you need these skills to ace Data Engineer (Azure/Fabric) in Oxford
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jobiqo. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
