At a Glance
- Tasks: Lead a team to design and enhance data pipelines using Azure and Databricks.
- Company: Dynamic tech company focused on innovative data solutions.
- Benefits: Flexible salary, hybrid work model, and professional development opportunities.
- Other info: Join a supportive environment with exciting career growth potential.
- Why this job: Shape the future of data engineering and drive impactful analytics.
- Qualifications: Experience in Azure, Databricks, SQL, and leadership skills required.
The predicted salary is between 36000 - 60000 £ per year.
This role has a flexible salary and company benefits. My client is looking for a hands-on Data Engineering Lead to shape and evolve a modern hybrid data platform built on Azure and Databricks. This role is central to enabling scalable, high-performance data solutions that drive analytics and reporting across the organisation.
Responsibilities include:
- Design and enhance data pipelines that support large-scale ingestion, transformation, and delivery across varied sources.
- Leverage Azure and Databricks to ensure reliable, high-throughput data movement and integration for analytics and BI.
- Apply best practices in orchestration, monitoring, and error handling to maintain consistent and dependable data flows.
- Optimise hybrid cloud architecture for performance, scalability, and cost-efficiency.
- Implement smart storage strategies, compute resource allocation, and caching techniques to support growing data volumes.
- Lead and mentor a team of BI Developers, fostering collaboration and technical excellence.
- Oversee the delivery of dashboards and data products, ensuring alignment with business needs and timely execution.
- Promote continuous improvement and innovation in BI practices to support decision-making.
- Enforce strong data governance, quality standards, and security protocols across the data estate.
Requirements include:
- Deep experience in data engineering using Azure, Databricks, SQL, and Azure Data Factory, including medallion architecture.
- Proven leadership in guiding teams through complex data deliveries and adopting best practices.
- Strong background in ETL orchestration and hybrid cloud integration.
- Hands-on experience with Power BI and DAX, building dashboards that drive actionable insights.
- Experience in data analytics or BI within a construction or project delivery setting.
- Comfortable working with IT teams and business stakeholders to deliver impactful solutions.
Please note: This is a permanent role for UK residents only. Some of our roles may be subject to successful background checks including a DBS and Credit Check.
Lead Data Engineer / Team Lead employer: Tenth Revolution Group
Join a forward-thinking organisation that prioritises innovation and employee development in the heart of London. As a Lead Data Engineer, you will benefit from a flexible salary, hybrid working model, and a collaborative culture that encourages continuous learning and mentorship. With a focus on cutting-edge technologies like Azure and Databricks, this role offers the opportunity to lead impactful projects while fostering a supportive environment for professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer / Team Lead
✨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 a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and dashboards. Use platforms like GitHub to share your projects, and don’t forget to highlight your experience with ETL orchestration and hybrid cloud integration.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you’ve optimised data flows and implemented smart storage strategies. Practice explaining complex concepts in simple terms – it’ll impress both technical and non-technical interviewers!
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by recruiters who are looking for candidates with your specific skill set.
We think you need these skills to ace Lead Data Engineer / Team Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure, Databricks, and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can lead a team effectively. We love seeing enthusiasm and a clear understanding of our needs.
Showcase Your Leadership Skills:Since this role involves leading a team, make sure to highlight any previous leadership experiences. We’re looking for someone who can mentor others and drive collaboration, so share examples of how you've done this in the past.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands quickly. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Tenth Revolution Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure, Databricks, SQL, and Azure Data Factory. Brush up on medallion architecture and be ready to discuss how you've applied these technologies in past projects. This will show your potential employer that you’re not just familiar with the tools, but you can leverage them effectively.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to guide and mentor a team. Prepare examples of how you've led teams through complex data deliveries and fostered collaboration. Highlight any specific instances where your leadership made a significant impact on project outcomes.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in data engineering, particularly around ETL orchestration and hybrid cloud integration. Be ready to explain your thought process and the steps you took to resolve those issues.
✨Align with Business Needs
Understand the importance of aligning data solutions with business objectives. Be prepared to discuss how you've ensured that dashboards and data products meet business needs and how you’ve promoted continuous improvement in BI practices. This shows that you’re not just a techie, but someone who understands the bigger picture.
