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For Companies At a Glance
- Tasks: Design and optimise scalable data pipelines while mentoring a growing team.
- Company: Established professional services business with a focus on modern cloud data solutions.
- Benefits: Competitive salary, hands-on role, and the chance to work on cutting-edge data projects.
- Why this job: Be at the forefront of AI development while leading a passionate team in a dynamic environment.
- Qualifications: Experience as a Data Engineer with strong skills in PySpark, Databricks, and Azure.
- Other info: Exciting opportunity for ambitious professionals ready to balance tech delivery with team leadership.
The predicted salary is between 80000 - 90000 £ per year.
A well-established professional services business is hiring a Lead Data Engineer to play a key role in building and optimising its modern cloud data environment. This is a technical, hands-on role with team management responsibilities – ideal for someone who wants to stay close to the tech while guiding and developing a growing team.
Role: Data Engineer
Salary: £80,000 - £90,000
Location: Guildford – 5 days per week onsite
What you'll be doing:
- Design, build, and optimise scalable data pipelines and architecture
- Work hands-on with SQL, PySpark, Databricks, Azure, and Data Lake to deliver high-performance solutions
- Translate business needs into technical requirements and data-driven solutions
- Ensure best practice in data governance, quality, and security
- Manage and mentor engineers, helping them grow while contributing directly to delivery
- Support the company's AI roadmap by developing and scaling the data environment
What you'll need:
- Proven experience as a Data Engineer or Senior Data Engineer with some team leadership responsibilities
- Strong technical expertise with PySpark, Databricks, Azure, and Data Lake
- Deep understanding of data architecture and ETL processes in cloud environments
- The ability to balance coding and technical delivery with people management
- Excellent problem-solving skills and the energy to thrive in a fast-paced environment
What's on offer:
- Salary £80,000 - £90,000
- Onsite role – Guildford HQ, 5 days per week
- The chance to work on cutting-edge data projects within a modern data stack
- Play a central role in building the foundations that will fuel the company's AI roadmap
- A brilliant opportunity for a highly energetic, ambitious technical professional who is passionate about data and ready to step up into a role combining delivery with people management
Lead Data Engineer in Woking employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in Woking
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Lead Data Engineer role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving SQL, PySpark, and Azure. This will give potential employers a taste of what you can do and how you can contribute to their modern cloud data environment.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and people management skills. Be ready to discuss how you've translated business needs into data-driven solutions and how you’ve mentored engineers in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for passionate individuals who want to make an impact in the data space. Plus, applying directly can sometimes give you a leg up in the hiring process.
We think you need these skills to ace Lead Data Engineer in Woking
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 hands-on experience with SQL, PySpark, and Azure, and don’t forget to mention any team leadership roles you've had!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how your background makes you the perfect fit for our team. Be sure to connect your past experiences with what we’re looking for in this role.
Showcase Your Technical Skills: Since this role is technical, make sure to include specific examples of projects where you’ve designed and optimised data pipelines. We want to see your problem-solving skills in action, so don’t hold back on the details!
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 shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Digital Waffle
✨Know Your Tech Inside Out
Make sure you’re well-versed in SQL, PySpark, Databricks, Azure, and Data Lake. Brush up on your technical skills and be ready to discuss how you've used these technologies in past projects. Being able to demonstrate your hands-on experience will show that you can hit the ground running.
✨Showcase Your Leadership Skills
Since this role involves team management, be prepared to talk about your experience mentoring others. Share specific examples of how you've guided a team, resolved conflicts, or helped someone grow in their role. This will highlight your ability to balance technical delivery with people management.
✨Understand the Business Needs
Familiarise yourself with how data solutions can drive business outcomes. Be ready to translate business needs into technical requirements during the interview. This shows that you not only think like a techie but also understand the bigger picture and can contribute to the company’s AI roadmap.
✨Prepare for Problem-Solving Questions
Expect to face some technical challenges or case studies during the interview. Practice articulating your thought process when tackling complex problems. This will demonstrate your excellent problem-solving skills and your ability to thrive in a fast-paced environment.
