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For Companies At a Glance
- Tasks: Lead the design and optimisation of our cloud-based data platform using Databricks.
- Company: Join a forward-thinking tech company focused on data-driven solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact by driving data architecture and mentoring future data engineers.
- Qualifications: Expertise in Databricks, Scala, Python, and experience leading technical teams.
- Other info: Dynamic role with opportunities to work cross-functionally in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a highly skilled Lead Data Engineer to design, develop, and maintain our cloud-based data infrastructure, with a strong focus on Databricks. In this key leadership role, you will drive the architecture, implementation, and optimisation of our data platform, enabling robust data pipelines and analytics capabilities that power business-critical insights and real-time operations. You will collaborate cross-functionally with engineering, product, and analytics teams to ensure data availability, quality, and performance, while also mentoring a team of data engineers and contributing to the long-term technical vision. Please note: As our platform operates 24/7, occasional out-of-hours work and on-call support may be required as part of a rota.
WHAT YOU WILL BE DOING
- Lead the architectural design, implementation, and ongoing optimization of our international data platform, aligned with enterprise-wide standards.
- Build and maintain scalable ETL/ELT data pipelines using Databricks, Spark, and related technologies.
- Optimize Databricks clusters, workflows, and jobs to ensure cost efficiency and high performance.
- Design and manage data lakes, data warehouses, and associated infrastructure to ensure data accuracy, integrity, and availability.
- Write high-quality, efficient code in Scala, Python, and Spark, following best practices for maintainability and scalability.
- Develop and implement robust monitoring, alerting, and error-handling mechanisms to ensure pipeline reliability.
- Partner with business stakeholders, product managers, analysts, and engineers to understand data needs and deliver effective solutions.
- Lead technical discussions, guide architectural decisions, and clearly communicate complex data concepts to both technical and non-technical audiences.
- Mentor and support the professional growth of data engineers within the team.
- Enforce strong standards for data governance, security, privacy, and compliance.
- Maintain comprehensive documentation of data systems, pipelines, and processes.
- Provide on-call support as part of a shared team rota to ensure platform availability.
ABOUT YOU
- Proven expertise working with Databricks, including Unity Catalog.
- Strong programming skills in Scala, Python, Spark & SQL/MYSQL.
- Solid experience with version control systems, particularly Git.
- Strong background in designing and optimizing complex data pipelines and infrastructure.
- Experience leading and mentoring technical teams of data engineers.
- Deep understanding of data warehousing, ETL/ELT patterns, and real-time data processing.
- Strong problem-solving and analytical skills, with meticulous attention to detail.
- Ability to work proactively, identify challenges, and implement improvements.
- Excellent communication skills with the ability to explain complex data concepts to both technical and non-technical audiences.
- Collaborative mindset, capable of working cross-functionally in a fast-paced, evolving environment.
- Eagerness to learn and adapt to emerging technologies.
Lead Data Engineer in London employer: Live Nation Entertainment
Contact Detail:
Live Nation Entertainment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering space. You never know when a casual chat could lead to your next big opportunity.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects that highlight your expertise in Databricks, Scala, and Python. This will give potential employers a tangible sense of what you can bring to the table.
✨Ace the Interview
Prepare for those interviews by brushing up on common data engineering questions and scenarios. Be ready to discuss your past projects and how you’ve tackled challenges. Remember, it’s not just about your technical skills; they want to see how you communicate complex ideas too!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Lead Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Data Engineer role. Highlight your expertise with Databricks, Scala, and Python, and don’t forget to mention any leadership experience you have!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've designed and optimised data pipelines in the past, and how you can contribute to our team at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, give us a glimpse into your analytical mindset. Describe a challenging data problem you faced and how you tackled it. We love seeing how you approach complex issues!
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 Live Nation Entertainment
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss how you've used it in past projects, especially around building and optimising ETL/ELT pipelines. Highlight any specific features or tools within Databricks that you've leveraged to improve performance or cost efficiency.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll be expected to mentor others and lead technical discussions. Prepare examples of how you've successfully guided teams in the past, focusing on your approach to problem-solving and collaboration. This will demonstrate your ability to communicate complex concepts clearly to both technical and non-technical audiences.
✨Prepare for Technical Questions
Expect to face some challenging technical questions related to data architecture, pipeline optimisation, and coding in Scala or Python. Brush up on your coding skills and be ready to solve problems on the spot. Practising with common data engineering scenarios can help you feel more confident during this part of the interview.
✨Understand the Business Impact
It's crucial to connect your technical expertise with business outcomes. Be prepared to discuss how your work as a data engineer has driven insights and improved operations in previous roles. This shows that you understand the bigger picture and can align your technical decisions with business goals.
