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- Tasks: Lead a dynamic team of Data Engineers in shaping cloud data strategies.
- Company: Join a global leader transforming market research into actionable insights with cutting-edge technology.
- Benefits: Enjoy a competitive salary, 15% bonus, and a fully remote work environment.
- Why this job: Make a real impact in AI/ML while working in a collaborative and innovative culture.
- Qualifications: Proven leadership in data engineering, hands-on GCP experience, and strong communication skills required.
- Other info: Candidates must be based in the UK and not require sponsorship.
The predicted salary is between 78000 - 130000 £ per year.
This range is provided by KDR Talent Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from KDR Talent Solutions
Specialist GCP Data Engineering Recruiter- Expert in helping companies mature and scale their Data Teams!
Data Engineering Manager (GCP House) | Fully Remote | up to £130,000 basic +15 % Bonus
My client is a global leader in turning Market Research into actionable insights. Their UK division is a buzzing hub of around 70 talented professionals – Data Engineers, Data Scientists, Product Owners, and Managers – all passionate about pushing the boundaries of what’s possible with data, AI, and cloud-native platforms.
They’re not just building data pipelines – they’re building the future of advertising using modern technologies like Google Cloud Platform (GCP), real-time streaming, and machine learning.
They believe in a collaborative, supportive environment where everyone has a voice and the best ideas win. A lot of what they do involves cutting-edge AI/ML workflows, so if that’s your thing,
About the Role
I’m looking for a Data Engineering Manager to lead an exceptional team of around 30 Data Engineers. This is more than just a management role – it\’s about mentoring, inspiring, and empowering a team of cloud-savvy engineers working across a modern GCP stack.
You’ll be a key player in shaping the company’s cloud data strategy, ensuring the delivery of scalable, reliable, and high-performing data solutions using tools such as BigQuery, Dataflow, Pub/Sub, and Cloud Composer (Airflow). Your work will directly power their AdTech and MarTech platforms, enabling smarter marketing decisions through high-quality data.
You’ll also work closely with Data Science and Machine Learning teams, making sure they have robust pipelines to support model development, training, and deployment.
If you\’re excited by the potential of cloud-native data engineering, especially in the AI/ML space, and want to make a real impact, this is the place for you.
What you’ll need
- Proven experience leading and managing Data Engineering teams, ideally in a cloud-first environment.
- Deep understanding of data engineering principles, data architecture, and best practices.
- Hands-on experience with the GCP ecosystem, especially:
–BigQuery (analytics and warehousing)
-Dataflow (streaming/batch pipelines via Apache Beam)
-Pub/Sub (real-time event processing)
-Cloud Composer/Airflow (orchestration and scheduling)
- Proficiency in Python and SQL, with solid experience building ETL/ELT pipelines and working with structured and semi-structured data.
- Excellent communication skills – you can clearly articulate technical concepts to stakeholders and collaborate across distributed teams (UK-based team with global stakeholders).
- A strong passion for data, and an excitement about its application in AI/ML, automation, and intelligent decision-making.
What you’ll get
- Ownership of a mature and extensive GCP-based data platform, managed by a smart, diverse, and passionate team.
- The opportunity to take the wheel and lead cloud-first, ML-integrated data initiatives at scale.
- A collaborative environment that encourages innovation and the freedom to explore new tools, patterns, and architectures.
- A competitive package: up to £130,000 basic, 15% bonus, and great benefits.
*Candidates must be based in the UK and not require Sponsorship
Interested? Hit apply and let’s talk
Seniority level
-
Seniority level
Director
Employment type
-
Employment type
Full-time
Job function
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Job function
Information Technology
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Industries
Staffing and Recruiting and Market Research
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Data Engineering Manager (GCP House) employer: KDR Talent Solutions
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager (GCP House)
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as BigQuery, Dataflow, and Pub/Sub. Having hands-on experience or projects that showcase your skills with these technologies will make you stand out.
✨Tip Number 2
Highlight your leadership experience in data engineering. Be prepared to discuss how you've mentored teams and driven successful projects, as this role requires not just technical skills but also strong management capabilities.
✨Tip Number 3
Showcase your passion for AI and machine learning. Prepare examples of how you've integrated these technologies into your previous work, as this aligns closely with the company's focus on cutting-edge solutions.
✨Tip Number 4
Network with current employees or industry professionals who have experience in GCP environments. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
We think you need these skills to ace Data Engineering Manager (GCP House)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GCP and data engineering principles. Focus on relevant projects where you've led teams or implemented cloud solutions, especially using tools like BigQuery and Dataflow.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and AI/ML. Mention specific examples of how you've mentored teams and contributed to cloud-first initiatives. Show that you understand the company's mission and how you can help achieve it.
Highlight Communication Skills: Since excellent communication is key for this role, provide examples in your application of how you've effectively communicated technical concepts to non-technical stakeholders. This will demonstrate your ability to collaborate across teams.
Showcase Relevant Achievements: Include quantifiable achievements in your application, such as improvements in data processing times or successful project completions. This will help illustrate your impact in previous roles and your potential value to the company.
How to prepare for a job interview at KDR Talent Solutions
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll be expected to lead a team. Prepare examples of how you've successfully managed and mentored teams in the past, focusing on your ability to inspire and empower others.
✨Demonstrate Technical Proficiency
Be ready to discuss your hands-on experience with GCP tools like BigQuery, Dataflow, and Pub/Sub. Highlight specific projects where you utilised these technologies to solve complex data challenges.
✨Communicate Clearly
Excellent communication skills are crucial for this role. Practice articulating technical concepts in a way that non-technical stakeholders can understand, as you'll need to collaborate across various teams.
✨Express Your Passion for AI/ML
The company values innovation in AI and machine learning. Share your enthusiasm for these areas and any relevant projects or experiences that demonstrate your commitment to leveraging data for intelligent decision-making.
