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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 innovation.
- Benefits: Competitive salary, hands-on role, and the chance to work on cutting-edge projects.
- Why this job: Join a dynamic team and play a key role in shaping the company's AI future.
- Qualifications: Experience as a Data Engineer with strong skills in PySpark, Databricks, and Azure.
- Other info: Fast-paced environment with opportunities for personal and professional growth.
The predicted salary is between 60000 - 85000 £ per year.
A well-established professional services business is hiring a 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.
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 £70,000 - £85,000
- 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
Senior Data Engineer employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. 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 projects, especially those involving SQL, PySpark, and Azure. 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 technical questions related to data architecture and ETL processes. Practice explaining complex concepts in simple terms, as you'll need to translate business needs into technical solutions.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals ready to take on exciting challenges. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your hands-on experience with SQL, PySpark, and Azure, as well as any team management roles you've had.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and how you can contribute to our AI roadmap. Be specific about your achievements and how they relate to the job description.
Showcase Your Technical Skills: In your application, don’t shy away from detailing your technical expertise. Mention specific projects where you've designed and optimised data pipelines or worked with cloud environments like Data Lake.
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 in Guildford!
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 share specific examples will show your expertise and confidence.
✨Showcase Your Leadership Skills
Since this role involves team management, prepare to talk about your experience mentoring others. Think of instances where you guided a team through challenges or helped someone develop their skills. This will demonstrate your ability to balance technical delivery with people management.
✨Understand the Business Needs
Be ready to discuss how you translate business requirements into technical solutions. Familiarise yourself with common data governance and quality practices, and think about how you can ensure these are upheld in your work. This shows you can align technical tasks with broader business goals.
✨Prepare for Problem-Solving Questions
Expect to face some tricky problem-solving scenarios during the interview. Practice articulating your thought process when tackling complex data issues. Highlight your analytical skills and how you thrive in fast-paced environments, as this is crucial for the role.
