Collinson
Collinson is a global loyalty and benefits company.
We use our expertise and products to craft customer experiences which enable some of the worlds best known brands to acquire engage and retain the most demanding and choice-rich particular our unique expertise and insight into high earning frequent travellers allows us to create products and solutions for our clients that inspire greater customer engagement to drive more profitable relationships enrich their travel experiences protect what matters and assist in in times of need.
While specialising in Financial Services Travel and Retail we also support clients in multiple sectors. We have worked with over 90 airlines 20 hotel groups and more than 600 financial institutions and banks with clients including Accor Hotels Air France KLM American Express British Airways Cathay Pacific Diners Club Mandarin Oriental Mastercard Radisson Hotel Group Sephora Visa and Vhi.
We take our 30 years experience working with these kinds of household names in over 170 countries and help our clients to deliver the smarter experiences it takes to differentiate their propositions and help them win deeper devotion with their customers.
Collinson is a privately-owned entrepreneurial business with 2000 passionate people working in 20 locations worldwide. Our solutions include Priority Pass the worlds best known airport experiences programme while we are also the trusted partner behind many of the leading financial services airline and hotel brands reward programmes and loyalty initiatives.
Purpose of the job
We are seeking a Data Engineering Manager who is passionate about building great teams shipping products fast and fostering an inspiring engineering culture. Youll be the kind of person who loves to see data engineers grow removes obstacles before they become problems and knows that the best teams deliver not because of deadlines but because theyre truly engaged in what theyre building. You will partner closely with our Principal Data Engineer to ensure a balanced approach across execution excellence career progression technical innovation and delivery discipline.
building.
Youll bring a strong technical background and have been hands-on with data engineering and building data products. You get how engineers think and how to help them thrive. You believe in iterating fast learning from failure and building scalable maintainable systems without getting bogged down in bureaucracy.
This role requires a leader who is technically credible but who also thrives on building an empowered high-performing team. Youll manage and mentor data engineers align delivery to business needs and champion both engineering quality and personal development
Key Responsibilities
Leadership & People Management
- Lead coach and mentor a team of data engineers focusing on career growth learning and engagement.
- Take ownership of people management including development plans performance reviews and progression pathways.
- Partner with the Principal Data Engineer to balance technical depth with delivery accountability ensuring the team excels in both.
- Foster a culture of collaboration inclusion and innovation within the data engineering function.
Technical Delivery & Execution
Oversee the design and implementation of scalable high-quality data pipelines on AWS and Snowflake.Collaborate with the Principal Data Engineer on technical architecture and standards ensuring solutions are future-proof and cost-efficient.Drive adoption of best practices in data engineering CI / CD and agile delivery.Ensure compliance with governance security and data quality requirements.Continuously optimize data flows to support business analytics personalization and advanced data products.Strategic Influence & Stakeholder Engagement
Work with Product Owners Data Governance and Analytics teams to align engineering work to strategic data goals.Communicate progress and solutions effectively to technical and non-technical stakeholders.Represent data engineering in cross-functional forums advocating for modern reliable and business-enabling data solutions.Contribute to shaping the Data & Analytics roadmap ensuring scalability for future growth.Knowledge skills and experience required
Leadership & People Development
Proven experience leading and developing high-performing data engineering teams ideally across hybrid or distributed environments.Strong focus on people management setting clear expectations supporting individual growth and ensuring structured career progression.Ability to foster a culture of learning inclusion and psychological safety empowering engineers to innovate and take ownership.Skilled in coaching engineers of varying experience levels providing both technical mentorship and constructive feedback.Experience partnering with a Principal Data Engineer or equivalent to maintain balance between technical excellence and delivery execution.Technical Expertise
Deep understanding of modern data architecture patterns - Data Lake Data Warehouse Lakehouse and Data Mesh.Proven experience designing and delivering cloud data platforms (preferably AWS and Snowflake).Expertise in ETL / ELT development orchestration and data automation using tools such as AWS Glue Step Functions Airflow or dbt.Strong programming proficiency in Python and SQL with experience in testing optimisation and CI / CD integration.Experience with streaming and event-driven architectures (e.g. Kafka Kinesis).Knowledge of infrastructure-as-code (Terraform CloudFormation) and data observability best practices.Strong background in data modelling (dimensional canonical and semantic models) to support analytical and operational use cases.Understanding of data governance security and privacy principles including GDPR compliance data lineage and access controls.Delivery & Execution
Demonstrated success delivering data solutions using Agile methodologies (Scrum / Kanban).Skilled at balancing speed quality and cost with awareness of cloud resource efficiency and cost management.Experienced in leading both strategic transformation projects (platform migrations architecture redesigns) and incremental delivery improvements (pipeline tuning automation).Confident in aligning technical delivery with business needs and collaborating closely with Product Analytics and Governance teams.Strategic & Communication SkillsExcellent communicator able to explain complex technical solutions in clear accessible language.Strong influencing skills to drive adoption of modern data practices and data-driven decision-making across the business.Strategic thinker who connects engineering initiatives with business value supporting innovation and scalability.High accountability resilience and adaptability in a fast-moving environment.Key Skills
Hospitality Experience,Go,Management Experience,React,Redux,Node.js,AWS,Mechanical Engineering,Team Management,Leadership Experience,Mentoring,Distributed Systems
Employment Type : Full Time
Experience : years
Vacancy : 1