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- Tasks: Lead the design of innovative data solutions and scalable data pipelines.
- Company: Forward-thinking organisation in Leeds focused on data-driven excellence.
- Benefits: Competitive salary, bonus scheme, flexible working, and generous annual leave.
- Why this job: Shape the future of data services and make a real impact in a dynamic team.
- Qualifications: Extensive experience in Azure data engineering and strong leadership skills.
- Other info: Join a supportive environment that values innovation and offers career growth.
The predicted salary is between 43200 - 64800 £ per year.
Your new company is a forward-thinking organisation at the heart of Leeds. The Data Services team are on a mission to unlock the value of data by delivering high-quality, secure, and accessible data services. With a focus on modern cloud-based technologies and strong partnerships, they help colleagues navigate the complexities of a data-driven world.
Your new role involves being instrumental in shaping the organisation's strategic cloud data platform. You will lead the design and implementation of scalable data pipelines, drive innovation in data-centric products, and champion automation and predictive analytics. This is a senior technical leadership role where you will establish best practices, ensure compliance, and deliver smart, customer-focused solutions.
What you will need to succeed:
- Extensive experience in data engineering within Azure environments, with a strong track record in modernisation and large-scale migration projects.
- Confidence in designing metadata-driven frameworks and managing Databricks environments, with hands-on expertise in Python, T-SQL, and PySpark.
- Proven leadership and mentoring experience in senior data engineering roles.
- Expertise in Azure Data Factory, Azure Databricks, and lakehouse architecture.
- Strong programming skills (Python, T-SQL, PySpark) and test-driven development.
- Deep understanding of data security, compliance, and tools like Microsoft Purview.
- Excellent communication and stakeholder management skills.
- Experience with containerisation and orchestration (e.g., Kubernetes, Azure Container Instances) would be desirable.
- AI/ML integration within data platforms would be advantageous.
What you will get in return:
You will be part of a dynamic and inclusive team, working on cutting-edge data solutions that make a real impact. The organisation offers a competitive salary up to £81K, excellent benefits including 8% cash payment on top of the salary, bonus scheme, and opportunities for professional development. You will also enjoy flexible working arrangements, generous annual leave, public sector pension and a supportive environment that values innovation and collaboration.
If you are interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
Principal Data Engineer/Architect employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Engineer/Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure or in similar roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, T-SQL, and PySpark. 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 leadership and mentoring experiences. Be ready to share specific examples of how you've driven innovation and collaboration in past roles—this is key for a Principal Data Engineer!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged in their job search.
We think you need these skills to ace Principal Data Engineer/Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Azure environments, data engineering, and any leadership roles you've held. We want to see how you can bring value to our team!
Showcase Your Projects: Include specific examples of projects where you've designed scalable data pipelines or implemented cloud solutions. This helps us understand your hands-on experience and how you tackle challenges in a data-driven world.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We’re excited to see what you bring to the table!
