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- Tasks: Lead the design and development of next-gen data platforms using Azure Databricks.
- Company: Dynamic organisation focused on digital transformation and innovation.
- Benefits: Competitive salary, bonus, benefits, and flexible working arrangements.
- Why this job: Make a real impact by driving data solutions and mentoring a growing team.
- Qualifications: Strong experience in data architecture, Databricks, and AI implementation.
- Other info: Exciting opportunity for career growth in a collaborative environment.
The predicted salary is between 60000 - 84000 £ per year.
Lead Data Engineer - £70-80k + bonus + benefits - Basingstoke 3 days a week
The Opportunity: 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/mentor the existing person 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 play a key role in the ownership of the core architecture/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. They are currently working with a 3rd Party Data Partner who have recommended a number of improvements - you will work closely with them selecting, implementing and managing technology so it’s a great opportunity to really make a difference.
The Person: Key to this is proactivity - they are really looking for someone who is always looking at "what's next" - are there new tools or functionality that will help the business move forward. Other key background/attributes include:
- In depth experience of modern data solution architecture design and delivery in a hybrid cloud environment but predominantly Azure/Databricks
- Experience of pipeline orchestration management
- Strong experience with Databricks
- Experience of implementing machine learning and AI
- Tooling such as Purview and Unity Catalog as well as the use of observability tools such as Monte Carlo, Fabric Monitoring and Log Analytics
- Mentoring/Leading/Management experience initially with a small team but with a view that this will grow
- Ideally skills in Delta Live Tables, Kafka, Azure Stream Analytics, Azure ML, PowerBI and Financial Modelling experience.
Lead Data Engineer in Southampton employer: Resourcing Group
Contact Detail:
Resourcing Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in Southampton
✨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 sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've tackled challenges in pipeline orchestration or implemented machine learning solutions. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Lead Data Engineer in Southampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with Databricks and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
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. Keep it engaging and personal, so we get a sense of who you are.
Showcase Your Proactivity: In your application, don’t forget to mention instances where 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 applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Resourcing Group
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your hands-on experience with it, especially in relation to data pipelines and architecture design. They’ll want to see how you can leverage Databricks for their digital transformation.
✨Showcase Your Proactivity
This role is all about looking ahead, so come prepared with examples of how you've identified and implemented new tools or functionalities in past projects. Think about times when you’ve driven improvements or innovations in data solutions and be ready to share those stories.
✨Prepare for Technical Questions
Expect some deep dives into technical aspects like pipeline orchestration management and machine learning implementation. Brush up on relevant tools like Purview, Unity Catalog, and observability tools. Being able to discuss these confidently will set you apart.
✨Demonstrate Leadership Skills
Since this position involves mentoring and managing a team, be ready to talk about your leadership style and experiences. Share specific instances where you’ve successfully led a team or project, and how you plan to grow that team in the future.
