Collinson
Collinson is the global, privately-owned company dedicated to helping the world to travel with ease and confidence.
We use our expertise and products to craft customer experiences which enable some of the world’s best-known brands to acquire, engage and retain the most demanding and choice-rich customers. In particular, our unique expertise and insight into high earning, frequent traveler's allow 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 specializing 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 2,000 passionate people working in 20 locations worldwide. Our solutions include Priority Pass, the world’s best known airport experiences program, while we are also the trusted partner behind many of the leading financial services, airline and hotel brand’s reward programs and loyalty initiatives.
Purpose of the job
The Full-Stack Data Engineer will play a critical role in Collinson's efforts to deliver customer-centric global solutions with a focus on hands-on execution. As a key member of the data engineering team, you will be responsible for designing, building, and maintaining data pipelines and infrastructure in both AWS and other cloud environments. Your hands-on experience in delivering real-world solutions will be invaluable as the team works to modernize its data landscape.
In this hands-on role, you will be tasked with leveraging your technical expertise to deliver customercentric solutions that meet the unique needs of internal and external stakeholders across the
Collinson group's global footprint. Additionally, you will have the opportunity to bring innovation to the team, using cutting-edge data engineering frameworks and techniques.
As a Full-Stack Data Engineer, you will be expected to not only deliver on technical projects, but also to mentor junior members of the team and help them get up to speed quickly. Strong communication and interpersonal skills are essential, as you will be working closely with stakeholders and clients to understand their data needs and help bring their data-driven initiatives to life.
Key Responsibilities
- 6-7 years of experience who can Develop and maintain Snowflake-based data products and data models.
- Build and manage ELT pipelines using dbt and modern data engineering practices.
- Implement automated data quality checks, monitoring and observability across data pipelines.
- Deliver reliable, secure and well-governed datasets for analytics and operational use cases.
- Collaborate with Product Managers, Analysts and Business Stakeholders to understand data requirements and deliver fit-for-purpose solutions.
- Design solutions with scalability, maintainability, performance and cost optimisation in mind.
- Support real-time and near-real-time data integration patterns using Kafka and event-driven architectures.
- Develop reusable frameworks, standards and engineering best practices across the data platform.
- Implement CI/CD pipelines and automated deployment processes.
- Troubleshoot and resolve data quality, performance and reliability issues.
- Contribute to platform modernisation and continuous improvement initiatives.
- Work closely with Data Governance teams to ensure compliance with GDPR, security and data management standards.
- Participate in code reviews and promote engineering excellence across the team.
- Mentor junior engineers and contribute to knowledge sharing across the Data & Analytics community.
- Evaluate emerging technologies and recommend improvements to the platform and engineering practices.
- Support AI and advanced analytics initiatives through the delivery of trusted, high-quality data assets
Knowledge, skills and experience required
Mandatory Technical Skills
Data Engineering
- Advanced SQL
- Python
- Data Modelling (Dimensional Modelling, Kimball, Data Vault fundamentals)
- ELT/ETL design and development
- Data Warehousing concepts
- Data Lakehouse concepts
- Data Quality Engineering
- Snowflake
- dbt
- Git
- CI/CD pipelines
- Data Observability and Monitoring
- AWS fundamentals
- Infrastructure as Code (Terraform)
- APIs and data integrations
- Containerisation fundamentals (Docker)
- Kafka fundamentals
- Event-Driven Architecture concepts
- CDC (Change Data Capture) concepts
- Agile delivery (Scrum/Kanban)
- Test-driven engineering principles
- Code review practices
- Performance optimisation
- Cost optimisation
Preferred Skills
- Confluent Kafka Platform
- Airflow
- Databricks
- PySpark
- Data Mesh concepts
- Data Products and Product Operating Model
- Data Governance and Lineage tools
- Monitoring and Observability platforms
- Kubernetes fundamentals
Nice to Have
- Generative AI fundamentals
- LLM integration patterns
- RAG architectures
- Vector databases
- AI Agent frameworks
- Machine Learning platform awareness
- Real-time analytics architectures
Person Specification
- Self-motivator with a desire to learn new skills and embrace new technologies in a constantly changing technology landscape
- Strong problem-solving and analytical skills.
- Passion for building scalable and maintainable data solutions.
- Self-motivated with a continuous learning mindset.
- Strong stakeholder management and communication skills.
- Ability to communicate technical concepts to non-technical audiences.
- Collaborative team player who thrives in agile environments.
- Quality-focused with strong attention to detail.
- Ability to balance business priorities with technical excellence.
- Proactive in identifying opportunities for improvement and innovation.
- Comfortable working across global teams and multiple business domains.
