At a Glance
- Tasks: Lead a team to design and enhance Azure data pipelines and warehouse solutions.
- Company: Market-leading organisation in technology training and workforce transformation.
- Benefits: Up to £90,000 salary, performance bonuses, and remote work options.
- Other info: Great career progression opportunities in a dynamic tech environment.
- Why this job: Shape the future of data platforms while mentoring a talented team.
- Qualifications: Strong Azure, Fabric, SQL skills, and previous leadership experience.
The predicted salary is between 54000 - 66000 £ per year.
We are partnering with a market‑leading organisation operating within the technology training, digital skills and workforce transformation sector who are investing heavily in its data platform and cloud technology capabilities. As part of this continued investment, the business is looking to appoint a Senior Data Engineer to join its expanding Data team. This is an excellent opportunity for an experienced Data Engineer to combine hands‑on technical delivery with team leadership responsibilities, helping to shape the future of a modern Azure‑based data platform.
Working closely with stakeholders across technology and the wider business, you will be responsible for developing and enhancing data pipelines, data warehouse solutions and reporting environments while best practices are maintained. You will also play a key role in mentoring engineers, managing deployments and driving continuous improvement across the data estate. This role would suit a Senior Data Engineer with strong Azure, Fabric and SQL expertise who enjoys leading technical initiatives, improving data platforms and supporting the development of high‑performing engineering teams.
Key Responsibilities
- Lead and mentor a small team of Data Engineers, promoting best practice and engineering excellence
- Design, build and support Azure Data Pipelines and Data Flows
- Develop and expand enterprise data warehouse solutions, integrating new data sources and datasets
- Create, maintain and optimise complex SQL stored procedures, views and functions
- Improve the performance and structure of data warehouse and reporting environments
- Produce and maintain technical documentation and development standards
Skills & Experience
- Strong experience with Microsoft Fabric and Azure Synapse Analytics
- Advanced SQL Server development experience
- Expert knowledge of T‑SQL including stored procedures, views and functions
- Experience designing, building and supporting enterprise data warehouse solutions
- Experience developing and supporting Azure‑based data integration solutions
- Previous team leadership or people management experience
What’s on Offer
- Salary of up to £90,000
- Performance‑related bonus scheme
- Remote working environment
- Opportunity to lead a growing team and influence data platform strategy
- Exposure to modern Microsoft data technologies including Fabric, Azure Synapse and Azure Data Factory
- Clear opportunity for progression within a growing data and technology function
Senior Data Engineer in Milton Keynes employer: Cyber Security training courses
As an AI Engineer at our Central London office, you will be part of a dynamic team dedicated to pioneering cutting-edge AI solutions that drive business growth and enhance engineering capabilities. We pride ourselves on fostering a collaborative work culture that encourages innovation and professional development, offering competitive salaries, performance bonuses, and the flexibility of a hybrid working model to ensure a healthy work-life balance.
Contact Details:
Cyber Security training courses Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Milton Keynes
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We think you need these skills to ace Senior Data Engineer in Milton Keynes
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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