Data Engineering Manager
Data Engineering Manager

Data Engineering Manager

Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead and mentor a team of data engineers to build innovative data products.
  • Company: Join Collinson, a global leader in enhancing travel experiences.
  • Benefits: Competitive salary, inclusive culture, and opportunities for personal growth.
  • Why this job: Shape the future of data solutions while fostering a culture of innovation.
  • Qualifications: Experience in managing data engineering teams and strong technical skills in cloud platforms.
  • Other info: Diverse and supportive environment with a focus on community impact.

The predicted salary is between 36000 - 60000 ÂŁ per year.

Join to apply for the Data Engineering Manager role at Collinson. Collinson is the global, privately-owned company dedicated to helping the world to travel with ease and confidence. The group offers a unique blend of industry and sector specialists who together provide market-leading airport experiences, loyalty and customer engagement, and insurance solutions for over 400 million consumers.

We work with the world’s leading payment networks, over 1,400 banks, 90 airlines and 20 hotel groups worldwide. Our mission is focused on doing good beyond profit, which for us means we seek out opportunities for our people to share in our success and that we give back to the communities and people within which we work. Never short of ambition, the success of our business is delivered through the diverse and talented team of over 2,200 global colleagues.

Are you a Data Leader who thrives on building high‑performing teams, delivering impactful solutions fast, and nurturing a culture of innovation and growth? We’re looking for a Data Engineering Manager who brings both technical depth and inspirational leadership to guide our team in building world‑class data products. In this role, you won’t just be managing a team, you’ll be shaping the future of how we deliver value through data. You’ll partner closely with our Principal Data Engineer to drive engineering excellence while mentoring a talented group of engineers through exciting technical challenges.

Responsibilities
  • Lead, mentor, and grow a team of skilled data engineers.
  • Drive career development, engagement, and learning through clear expectations and individual growth plans.
  • Build an inclusive, collaborative culture that fosters innovation and ownership.
  • Balance technical leadership with delivery accountability, ensuring your team thrives both personally and professionally.
  • Oversee the development of robust, scalable data pipelines on AWS and Snowflake.
  • Support architectural decisions and enforce best practices in data engineering, automation, CI/CD, and agile delivery.
  • Ensure compliance with data governance, security, and privacy requirements.
  • Continuously improve data flows to support analytics, personalization, and intelligent data products.
  • Align engineering delivery with business objectives by working closely with Product, Analytics, and Data Governance teams.
  • Communicate technical decisions clearly to both technical and non‑technical stakeholders.
  • Advocate for reliable, scalable, and modern data solutions across the organization.
  • Contribute to our broader Data & Analytics strategy and ensure scalability for future growth.
  • Passion for coaching, mentoring, and creating structured career pathways.
  • Strong ability to foster a psychologically safe, empowering team environment.
  • Comfortable partnering with technical leaders to ensure balanced focus on innovation and delivery.
Qualifications & Technical Expertise
  • Proven track record of managing high‑performing, distributed data engineering teams.
  • Deep knowledge of modern data architectures (Data Lake, Lakehouse, Data Mesh).
  • Strong experience with cloud platforms – ideally AWS and Snowflake.
  • Hands‑on proficiency with Python, SQL, and tools like Airflow, dbt, or AWS Glue.
  • Experience with event‑driven systems (Kafka, Kinesis), infrastructure‑as‑code (Terraform), and data observability.
  • Background in data modeling and building scalable, maintainable solutions.
  • Experience delivering data solutions in Agile environments (Scrum, Kanban).
  • Skilled in balancing speed, quality, and cost efficiency in cloud environments.
  • Excellent communicator and collaborator, capable of influencing and aligning cross‑functional stakeholders.
  • Strategic thinker who connects engineering work to business impact.

Collinson is an equal opportunity employer and welcomes differences in all their forms including colour, race, ethnicity, gender identity, sexual orientation, neurodivergence, family status, age, individuals with disabilities and people from all backgrounds, cultures and experiences as we strongly believe this contributes to our ongoing success.

In your application, please feel free to note which pronouns you use (e.g. she/her/hers, he/him/his, they/them/theirs, etc.). If you need any extra support throughout the interview process, then please email us at ukrecruitment@collinsongroup.com.

Data Engineering Manager employer: Collinson

Collinson is an exceptional employer that prioritises innovation and employee growth, offering a dynamic work culture where collaboration and inclusivity thrive. As a Data Engineering Manager, you will lead a talented team in a globally recognised company dedicated to enhancing travel experiences, with ample opportunities for professional development and a commitment to giving back to the community. Join us in shaping the future of data solutions while enjoying the benefits of working in a supportive environment that values diversity and personal success.
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Contact Detail:

Collinson Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineering Manager

✨Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field, especially those who might have insights into Collinson. A friendly chat can sometimes lead to opportunities that aren’t even advertised.

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills and leadership examples. Think about how you’ve built high-performing teams and delivered impactful solutions in the past. We want to hear your stories!

✨Tip Number 3

Show your passion for innovation! Collinson values creativity and forward-thinking, so be ready to discuss how you’ve fostered a culture of innovation in your previous roles. Let’s see that spark!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Collinson.

We think you need these skills to ace Data Engineering Manager

Team Leadership
Mentoring
Data Engineering
AWS
Snowflake
Python
SQL
Airflow
dbt
Event-Driven Systems
Infrastructure-as-Code
Data Observability
Data Modelling
Agile Methodologies
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Engineering Manager role. Highlight your experience with data architectures, cloud platforms, and team leadership. 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 engineering and how you can contribute to our mission at Collinson. We love seeing candidates who can connect their experiences to our goals.

Showcase Your Technical Skills: Don’t forget to highlight your technical expertise in Python, SQL, and any relevant tools like Airflow or AWS Glue. We’re keen on candidates who can demonstrate their hands-on experience and problem-solving abilities.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team!

How to prepare for a job interview at Collinson

✨Know Your Data Inside Out

Make sure you’re well-versed in modern data architectures like Data Lakes and Lakehouses. Brush up on your knowledge of AWS and Snowflake, as well as tools like Python and SQL. Being able to discuss these technologies confidently will show that you’re the right fit for the Data Engineering Manager role.

✨Showcase Your Leadership Skills

Prepare examples of how you've successfully led and mentored teams in the past. Collinson values a culture of innovation and growth, so be ready to discuss how you’ve fostered an inclusive environment and helped team members develop their careers.

✨Align with Business Objectives

Understand how data engineering impacts business goals. Be prepared to discuss how you can align engineering delivery with the needs of Product, Analytics, and Data Governance teams. This will demonstrate your strategic thinking and ability to connect technical work to business impact.

✨Communicate Clearly

Practice explaining complex technical concepts in simple terms. You’ll need to communicate effectively with both technical and non-technical stakeholders at Collinson. Being able to bridge that gap will set you apart as a candidate who can advocate for reliable and scalable data solutions.

Data Engineering Manager
Collinson
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  • Data Engineering Manager

    Full-Time
    36000 - 60000 ÂŁ / year (est.)
  • C

    Collinson

    500-1000
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