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.

Collinson is the operator of Priority Pass, the world’s original and leading airport experiences programme. Travellers can access a network of 1,500+ lounges and travel experiences, including dining, retail, sleep and spa, in over 650 airports in 148 countries, helping to elevate the journey into something special. We work with the world’s leading payment networks, over 1,400 banks, 90 airlines and 20 hotel groups worldwide.

We have been bringing innovation to the market since inception – from launching the first independent global VIP lounge access Programme, Priority Pass to being the first to sell direct travel insurance in the UK through Columbus Direct and creating the first loyalty agency of its kind in the travel sector with ICLP. Today we still invest heavily in innovation to ensure that we continue to deliver superior customer experiences.

Key clients include Visa, Mastercard, American Express, Cathay Pacific, British Airways, LATAM, Flying Blue, Accor, EasyJet, HSBC, Chase, HDFC.

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 1,800 global colleagues.

What we're looking for?

We are seeking a highly skilled Lead Analytics Engineer with robust expertise in data modeling and data architecture to join our growing platform team. This role is pivotal in building and evolving our new Data Platform, including Data Lakes and Data Warehouses using cutting-edge tools and technology.

The successful candidate will lead the design, development, and implementation of large-scale data and analytical solutions, ensuring they align with business requirements and industry best practices.

What you'll be doing?

Data Architecture and Modelling

· Design and implement the analytical data modelling framework across data architecture

· Design and implement robust data models to support various business requirements.

· Develop scalable data architectures, including Data Lakes, Data Warehouses, and Lakehouses.

· Ensure data architecture aligns with modern principles such as Data Mesh and supports efficient data flow. Data Pipeline Development and Maintenance 

· Lead the design, development, and maintenance of low-code enabled data pipelines. · Oversee the extraction, transformation, and loading (ETL) processes into various data stores. 

· Ensure data pipelines are optimized for performance and scalability. Data Governance and Quality 

· Establish and enforce data governance policies and standards. · Ensure data quality and integrity across all data assets. 

· Implement data normalization, aggregation, and validation processes. Cross-functional Collaboration 

· Work closely with cross-functional teams and stakeholders to gather and understand data requirements. 

· Drive data-driven initiatives and ensure data solutions meet business needs. Data Visualization and Communication 

· Develop data visualizations to communicate complex data insights effectively. 

· Translate data into actionable insights to identify trends, root causes of issues, and opportunities for improvement. 

· Communicate complex data solutions clearly to both technical and non-technical stakeholders. Continuous Learning and Industry Advocacy 

· Stay abreast of industry trends and advancements in data engineering and analytics. · Advocate for modern data solutions and the importance of high-quality data within the organization.

What you'll need?

· Extensive experience leading AWS and cloud data platform transformations.

· Proven track record of delivering large-scale data and analytical solutions in a cloud environment.

· Expertise in end-to-end data pipeline implementation using AWS services, including data preparation, ETL, warehousing, and governance.

· In-depth understanding of modern data architectures, such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh.

· Strong knowledge of data modelling practices and the ability to manage data pipelines cost- effectively.

· Familiarity with CI/CD-driven data pipeline and infrastructure using Agile methodologies (Scrum, Kanban).

· Excellent communication and influencing skills, with the ability to present data solutions to various audiences.

· Experience managing and leading a small team of data engineers.

· Proficiency in Python, SQL, NoSQL, Snowflake, AWS Cloud, and Tableau.

· Self-driven with a passion for improving data processes and embracing new technologies. Python, SQL, DBT, Data Modelling, Snowflake, AWS Cloud, Tableau, Real time reporting

Ideally you'll have?

· Self-motivator with a desire to learn new skills and embrace new technologies in a constantly

changing technology landscape

· Ability to thrive in a fast-moving environment

· Ability to show initiative, innovation and work independently when required

· Ability to work at pace and tackle project challenges in a collegiate, collaborative way

· Goal and outcome orientated

· Thoroughness and attention to detail

· Good communication skills (ability to present, inform and guide others)

· Ability to bridge communications between technical and business focussed groups

· Comfortable working with people at all levels in an organisation

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 on-going success.

We are focused on continually evolving our purpose driven, high performing culture, providing an environment where our people have the opportunity to achieve their full potential and do interesting and meaningful work. Our company values are: Act smarter, Do the right thing, One team and Be insight led. These help guide everything we do internally in terms of how we think, act and interact, right through to how we deliver value to our customers and clients.

In your application, please feel free to note which pronouns you use (For example - 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

We also have our very own Beacons (Domestic Abuse Advisors) supporting within each of our global offices. Our Beacons will be your point of contact if you or someone you know needs support.