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- Tasks: Lead hands-on data engineering and manage DevOps practices on an Azure-based platform.
- Company: Forward-thinking organisation focused on data transformation and innovation.
- Benefits: Competitive daily rate, hybrid work model, and opportunity for professional growth.
- Why this job: Be the go-to Databricks expert and make a real impact in data engineering.
- Qualifications: Extensive Databricks experience, strong SQL and PySpark skills, and leadership capabilities.
- Other info: Join a dynamic team and shape the future of data engineering.
The predicted salary is between 50400 - 75600 £ per year.
Job Description
Job Title: Lead Data Engineer\\n\\nLocation: Warwick (Hybrid – once per week onsite)\\nRemuneration: From £700 per day (via umbrella company)\\nContract Details: Fixed Term Contract, 6 months, Full Time\\n\\nAre you ready to take the lead in transforming data engineering? Our client, a forward-thinking organisation, is seeking a highly skilled and hands-on Lead Data Engineer to drive their Data & Insights platform built on the Azure stack. This is a Databricks-heavy role, ideal for someone who thrives in technical environments and enjoys working directly with cutting-edge tools.\\n\\nWhy This Role Stands Out\\n\\nThis is not just a leadership role – it's a hands-on engineering opportunity where your Databricks expertise will be front and centre.
You'll be the go-to person for all things Databricks, from architecture and configuration to pipeline promotion and troubleshooting.\\n\\nKey Responsibilities\\n\\nLead and deliver hands-on data engineering across all layers of the Azure-based data platform.\\nAct as the Databricks SME (Subject Matter Expert), overseeing architecture, configuration, and documentation.\\nGuide and support the engineering team while contributing directly to development efforts.\\nManage DevOps practices including branch supervision and merging.\\nPromote data pipelines and notebooks through development, testing, and production environments.\\nEnhance monitoring and control frameworks to ensure platform reliability.\\nProvide technical leadership and mentorship to a small team of Data Engineers.\\n\\nEssential Skills\\n\\nExtensive hands-on experience with Databricks – this is the core of the role.\\nStrong background in Synapse and Azure DevOps.\\nProficiency in SQL and PySpark within a Databricks environment.\\nProven experience leading small engineering teams.\\nSkilled in configuration management and technical documentation.If you're a Databricks expert looking for a role that blends leadership with deep technical involvement, this is your chance to make a real impact. Join a dynamic team and help shape the future of data engineering.\\n\\nReady to elevate your career? Apply now and be a vital part of this exciting transformation!\\n\\nPontoon is an employment consultancy.
We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.
If you require reasonable adjustments at any stage, please let us know and we will be happy to support you
Lead Data Engineer employer: Pontoon
Contact Detail:
Pontoon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks or Azure. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Databricks projects and any cool data engineering solutions you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your hands-on experience with Databricks, SQL, and PySpark. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s get you that dream job!
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with Databricks and Azure. We want to see how your skills align with the role, so don’t be shy about showcasing your technical expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Lead Data Engineer role. Share specific examples of your leadership and technical achievements that relate to the job description.
Showcase Your Team Leadership: Since this role involves mentoring a small team, make sure to highlight your experience in leading engineering teams. We love to see how you’ve guided others and contributed to their success!
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Pontoon
✨Know Your Databricks Inside Out
Since this role is all about Databricks, make sure you brush up on your knowledge. Be prepared to discuss your hands-on experience with Databricks, including architecture and configuration. Think of specific projects where you've used Databricks and be ready to share the challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've guided engineering teams in the past, focusing on your approach to technical leadership and collaboration. Highlight any successful projects where your leadership made a difference.
✨Familiarise Yourself with Azure and DevOps
This role requires a strong background in Azure and DevOps practices. Make sure you can talk about your experience with Azure Synapse and how you've managed DevOps processes like branch supervision and merging. Being able to articulate your understanding of these tools will set you apart.
✨Prepare for Technical Questions
Expect to face technical questions related to SQL and PySpark within a Databricks environment. Brush up on your coding skills and be ready to solve problems on the spot. Practising common data engineering scenarios can help you feel more confident during the interview.
