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For Companies At a Glance
- Tasks: Design scalable data architectures and mentor teams in a cloud-native environment.
- Company: Join a data-driven organisation expanding its cloud engineering capabilities.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Lead innovative projects using BigQuery and shape the future of data solutions.
- Qualifications: Expertise in Google Cloud Platform and strong SQL skills required.
- Other info: Dynamic role with a focus on technical problem-solving and mentorship.
The predicted salary is between 75000 - 85000 £ per year.
Data Idols are working with a data-driven organisation that is expanding its cloud data engineering capability and is looking for a Lead Data Engineer to join the team. This role sits within a modern data engineering function and focuses on designing robust, scalable architectures for data ingestion and analytics, with BigQuery at the core.
You’ll play a key role in setting technical standards, ensuring governance, and shaping best practices across the platform.
The Opportunity
As the Lead Data Engineer and expert in BigQuery and GCP data services, you’ll guide teams on how to build efficient, compliant, and future-proof solutions. You’ll balance hands‑on delivery with mentorship, ensuring solutions meet performance, scalability, and regulatory expectations. This role is well suited to someone who enjoys deep technical problem‑solving, influencing standards, and mentoring others in a cloud‑native data environment.
Skills and experience
- Strong experience designing data solutions on Google Cloud Platform
- Deep hands‑on expertise with Google BigQuery, including architecture, optimisation, and advanced SQL
- Familiarity with CI/CD pipelines
- Ability to influence technical direction and support other engineers through mentorship
If you are looking for a new challenge, then please submit your CV for initial screening and more details.
Lead Data Engineer in Manchester employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Google Cloud Platform. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving BigQuery and GCP. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled challenges in past projects, particularly around data ingestion and analytics.
✨Tip Number 4
Don’t forget to apply 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 in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Google Cloud Platform and BigQuery. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements in data engineering!
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 team. We love seeing personality, so let your enthusiasm come through!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We’re looking for someone who enjoys deep technical problem-solving, so share those stories that highlight your expertise!
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Data Science Festival
✨Know Your BigQuery Inside Out
Make sure you brush up on your BigQuery knowledge before the interview. Be ready to discuss your experience with architecture, optimisation, and advanced SQL queries. Prepare some examples of how you've used these skills in past projects to demonstrate your expertise.
✨Showcase Your Mentorship Skills
As a Lead Data Engineer, you'll be expected to mentor others. Think of specific instances where you've guided team members or influenced technical direction. Share these stories during the interview to highlight your leadership abilities and collaborative spirit.
✨Understand CI/CD Pipelines
Familiarity with CI/CD pipelines is crucial for this role. Brush up on your knowledge of how these processes work and be prepared to discuss how you've implemented or improved them in previous roles. This will show that you're not just technically savvy but also understand the importance of efficient workflows.
✨Prepare for Problem-Solving Scenarios
Expect to face technical problem-solving questions during the interview. Practice articulating your thought process when tackling complex data challenges. This will demonstrate your analytical skills and ability to think critically under pressure, which are key for a Lead Data Engineer.
