At a Glance
- Tasks: Lead the design of data flows and mentor a dynamic team in data engineering.
- Company: Top asset management firm in Sheffield with a focus on innovation.
- Benefits: Enjoy 5 weeks annual leave, training opportunities, and a competitive salary.
- Why this job: Shape the future of data analytics while working with cutting-edge technologies.
- Qualifications: Experience in Azure and Databricks is essential for this role.
- Other info: Collaborative environment with regular in-person teamwork twice a week.
The predicted salary is between 48000 - 72000 Β£ per year.
A leading asset management firm based in Sheffield is seeking a full-time Technical Lead in Data Engineering. You will architect new data flows, rebuild data pipelines, and mentor a growing team.
Key responsibilities include:
- Leading the redesign of the data transformation layer
- Establishing data serving layers for real-time analytics
Ideal candidates will have proven experience in Azure and Databricks. The role requires regular in-person attendance twice a week for collaboration, offering a competitive benefits package including 5 weeks of annual leave and training opportunities.
Lead Data Engineer: Azure and Databricks Platform Architect in Sheffield employer: IntelliAM AI Ltd
Contact Detail:
IntelliAM AI Ltd Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Lead Data Engineer: Azure and Databricks Platform Architect in Sheffield
β¨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure and Databricks. A friendly chat can lead to insider info about job openings or even referrals.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data flows and pipelines. This will give potential employers a taste of what you can bring to the table.
β¨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data engineering. We recommend practising your answers with a friend or using mock interview platforms to boost your confidence.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Data Engineer: Azure and Databricks Platform Architect in Sheffield
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience with Azure and Databricks. We want to see how you've tackled similar challenges in the past, so donβt hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're excited about this role and how your skills align with our needs. We love hearing about your passion for data engineering.
Showcase Your Leadership Skills: Since this role involves mentoring a team, be sure to mention any leadership experiences you have. Weβre looking for someone who can inspire and guide others in their data journey.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures you donβt miss out on any important updates from us!
How to prepare for a job interview at IntelliAM AI Ltd
β¨Know Your Tech Inside Out
Make sure youβre well-versed in Azure and Databricks. Brush up on your knowledge of data flows, pipelines, and real-time analytics. Be ready to discuss specific projects where you've implemented these technologies.
β¨Showcase Your Leadership Skills
Since the role involves mentoring a team, prepare examples of how you've led or supported others in previous positions. Highlight your experience in guiding teams through technical challenges and fostering collaboration.
β¨Prepare for Technical Questions
Expect in-depth technical questions about data transformation and architecture. Practice explaining complex concepts clearly and concisely, as if you're teaching someone else. This will demonstrate your expertise and communication skills.
β¨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the companyβs data strategy or team dynamics. This shows your genuine interest in the role and helps you assess if itβs the right fit for you.