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- Tasks: Lead the design and development of next-gen data platforms using Databricks.
- Company: Dynamic organisation focused on digital transformation in Basingstoke.
- Benefits: Competitive salary, bonus, and flexible working options.
- Why this job: Make a real impact by driving innovation in data engineering.
- Qualifications: Strong experience with Databricks and proactive problem-solving skills.
- Other info: Opportunity to mentor others and work with cutting-edge AI technologies.
The predicted salary is between 70000 - 80000 £ per year.
We are looking for a Lead Data Engineer with strong Databricks experience to join a Basingstoke based organisation who are investing heavily in their Digital Transformation Programme.
The Role: You will play a proactive role in the delivery of next-generation data platforms, manage and mentor the existing team member, and drive the design, development, and governance of the data pipelines. You will work closely with stakeholders across the technology function and within the business to ensure the availability, integrity, and compliance of the systems. You will have key ownership of the core architecture and engineering across the new Azure Databricks ecosystem. You will ensure that the data platform architecture supports availability and growth targets and that the platforms leverage advances in AI and Machine Learning capability. You will collaborate with a 3rd Party Data Partner who has recommended a number of improvements, allowing you to select, implement, and manage technology effectively.
The Person: Key to this role is proactivity; we are looking for someone who is always considering "what's next" and exploring new tools or functionalities that will enhance the data engineering processes.
Lead Data Engineer in Basingstoke employer: JLA Resourcing
Contact Detail:
JLA Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in Basingstoke
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with data engineering. A friendly chat can lead to insider info about job openings or even referrals that could give you an edge.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks and Azure. This gives potential employers a tangible look at what you can do and how you can contribute to their digital transformation.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've managed teams and driven projects in the past. Remember, they want someone proactive, so come armed with ideas on what’s next in data engineering!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining us and making a difference in our data landscape.
We think you need these skills to ace Lead Data Engineer in Basingstoke
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your Databricks experience and any relevant projects you've worked on. We want to see how your skills align with our needs!
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 contribute to our Digital Transformation Programme. Let us know what makes you tick!
Showcase Your Proactivity: In your application, don’t forget to mention examples of how you've been proactive in your previous roles. We’re looking for someone who’s always thinking about 'what's next' and can drive innovation in our data platforms.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at JLA Resourcing
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss specific projects where you've used it, and how you've leveraged its features to improve data pipelines. This will show that you're not just familiar with the tool, but that you can use it effectively in a real-world context.
✨Showcase Your Proactivity
Since the company is looking for someone who is always thinking about 'what's next', prepare examples of how you've proactively identified and implemented new tools or processes in your previous roles. This could be anything from adopting new technologies to improving existing workflows—make it clear that you're a forward-thinker.
✨Engage with Stakeholders
Highlight your experience working closely with stakeholders across different functions. Prepare to discuss how you've managed relationships and communicated technical concepts to non-technical team members. This will demonstrate your ability to bridge the gap between technology and business needs.
✨Understand the Bigger Picture
Familiarise yourself with the company's Digital Transformation Programme and how your role as a Lead Data Engineer fits into it. Be prepared to discuss how you can contribute to their goals, especially regarding AI and Machine Learning capabilities. Showing that you understand their vision will set you apart from other candidates.
