At a Glance
- Tasks: Lead and mentor a team of data engineers while shaping data engineering capabilities.
- Company: Join UST, a forward-thinking company in Leeds focused on engineering excellence.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on high-quality outcomes and career advancement.
- Why this job: Make a real impact by driving innovative data solutions using Azure technologies.
- Qualifications: Experience with Azure Databricks, Data Factory, Python, and SQL required.
The predicted salary is between 60000 - 80000 € per year.
UST is looking for a Lead Data Engineer in Leeds to provide leadership and drive engineering excellence within the Data Team. This role involves shaping data engineering capabilities across multiple squads, mentoring data engineers, and ensuring high-quality outcomes.
Candidates should have experience with Azure services, including Databricks and Data Factory, and strong skills in Python and SQL. The position requires effective collaboration with stakeholders to translate business needs into secure and performant data solutions.
Lead Data Engineer: Azure Databricks & ADF in Leeds employer: UST
UST is an exceptional employer that fosters a culture of innovation and collaboration in Leeds, providing employees with the opportunity to lead impactful projects in data engineering. With a strong emphasis on professional development, our team members benefit from mentorship and continuous learning, ensuring they grow alongside the company. Additionally, our commitment to work-life balance and a supportive environment makes UST a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer: Azure Databricks & ADF in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Lead Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Azure Databricks and ADF. We love seeing real-world applications of your Python and SQL skills, so make sure to highlight those in your discussions.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. We recommend practising common data engineering scenarios and thinking about how you’d mentor others in the team. It’s all about demonstrating your leadership potential!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who want to drive engineering excellence with us.
We think you need these skills to ace Lead Data Engineer: Azure Databricks & ADF in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure services, especially Databricks and Data Factory. We want to see how your skills in Python and SQL can shine through, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for data engineering. Share specific examples of how you've led teams or mentored others, and how you’ve tackled challenges in previous roles.
Showcase Collaboration Skills:Since this role involves working closely with stakeholders, make sure to mention any experiences where you’ve successfully translated business needs into data solutions. We love seeing teamwork in action!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at UST
✨Know Your Tech Inside Out
Make sure you brush up on your Azure services, especially Databricks and Data Factory. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves mentoring and leading teams, prepare examples of how you've successfully guided others in previous positions. Think about specific instances where your leadership made a difference in project outcomes.
✨Prepare for Collaboration Questions
Expect questions about how you work with stakeholders. Have examples ready that demonstrate your ability to translate business needs into data solutions. Highlight any successful collaborations that led to high-quality results.
✨Demonstrate Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios or case studies during the interview. Show how you approach problem-solving, particularly in relation to data engineering challenges, using Python and SQL.
