At a Glance
- Tasks: Lead the design and development of innovative data solutions on Google Cloud Platform.
- Company: Join a leading company focused on sustainability and cutting-edge technology.
- Benefits: Competitive salary, bonus, private medical cover, and a collaborative team culture.
- Other info: Hybrid work model with opportunities for career progression.
- Why this job: Make a real impact in data-driven decision-making while mentoring a talented team.
- Qualifications: Expertise in GCP, Python, SQL, and leadership experience required.
The predicted salary is between 90000 - 110000 £ per year.
Are you ready to lead cutting-edge data solutions that drive smarter pricing, market analysis, and investment strategies? Join a leader in its field, working alongside a passionate, highly skilled team with sustainability at the core of everything they do.
What You’ll Do:
- Take ownership of the end-to-end design and development of scalable, cloud-based data infrastructure, with a primary focus on Google Cloud Platform (GCP).
- Lead, mentor, and develop the existing team of two data engineers.
- Build and optimise robust data pipelines with Python, Snowflake, and Databricks, ensuring seamless integration into business processes.
- Drive CI/CD best practices to maintain reliability and efficiency in all aspects of the data engineering lifecycle.
- Deliver actionable insights by developing data models that support pricing decisions, market analysis, and investment strategies.
What You’ll Bring:
- Deep expertise in GCP– you’ll bring hands-on experience with GCP tools such as BigQuery, Dataflow, and Cloud Functions.
- Proficiency in Python, SQL, and modern data engineering tools, plus familiarity with JavaScript for cross-functional collaboration.
- A strong background in Snowflake and Databricks to support scalable data solutions.
- Leadership skills, with experience mentoring a team, and the ability to inspire and grow talent.
- A commercially minded approach, with the ability to align data solutions to business priorities and outcomes.
What’s On Offer:
- Salary: £90,000 - £110,000 (depending on experience).
- Benefits: Competitive bonus, private medical cover, pension, and a collaborative team culture.
- Work Policy: Hybrid model with three days onsite at the company’s modern, well-connected London office.
- Progression: Room to grow into more senior roles as the team and organisation scale.
- Impact: Work at the heart of data-driven decision-making for a company that’s not only a leader in its field but also puts sustainability at the centre of its strategy.
Lead Data Engineer (GCP) employer: Consortia Group
Join a forward-thinking company that prioritises sustainability and innovation, offering a dynamic work environment in the heart of London. As a Lead Data Engineer, you'll benefit from a competitive salary, comprehensive benefits including private medical cover, and a collaborative culture that fosters professional growth and mentorship. With a hybrid work model and opportunities for career advancement, this role is perfect for those looking to make a meaningful impact in data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer (GCP)
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving GCP, Python, and data pipelines. Share it on platforms like GitHub or LinkedIn. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by practicing common data engineering problems and scenarios. Be ready to discuss your experience with GCP tools and how you've led teams. Confidence and clarity in your answers can make a huge difference!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Engineer (GCP)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Lead Data Engineer role. Highlight your experience with GCP, Python, and data engineering tools. 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! Share your passion for data solutions and sustainability. Let us know why you’re excited about this opportunity and how you can contribute to our team.
Showcase Your Leadership Skills:Since this role involves mentoring, don’t forget to mention any leadership experiences you have. We love seeing how you’ve inspired and developed talent in your previous roles!
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 ensure it gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Consortia Group
✨Know Your GCP Inside Out
Make sure you’re well-versed in Google Cloud Platform tools like BigQuery, Dataflow, and Cloud Functions. Brush up on your hands-on experience and be ready to discuss specific projects where you've used these tools to solve real-world problems.
✨Showcase Your Leadership Skills
Since this role involves mentoring a team, prepare examples of how you've led and inspired others in the past. Think about challenges you faced and how you helped your team grow, as this will demonstrate your ability to lead effectively.
✨Demonstrate Your Technical Prowess
Be ready to dive deep into your technical skills, especially in Python, SQL, Snowflake, and Databricks. Prepare to discuss how you've built and optimised data pipelines, and be ready for some technical questions or even a coding challenge.
✨Align Data Solutions with Business Goals
Understand the company’s focus on sustainability and how data solutions can drive smarter pricing and market analysis. Be prepared to discuss how your previous work has aligned data engineering with business priorities, showcasing your commercially minded approach.
