Data Engineer

Harnham is recruiting a Data Engineer for a leading organization in the travel technology and services industry. The role focuses on building and maintaining cloud-based data pipelines, integrating diverse data sources, and delivering reliable datasets for analytics and business operations.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines across internal and external data sources
• Build reliable ingestion and transformation processes for large, complex datasets
• Integrate data from booking engines, CRM platforms, customer service systems, mobile applications, and web analytics tools
• Develop and optimize data models and schemas within modern cloud data warehouses
• Work with platforms such as Snowflake, BigQuery, or Amazon Redshift
• Use SQL and programming languages such as Python, Java, or Scala to develop data processing solutions
• Build and maintain integrations with third-party APIs and external platforms
• Implement data quality checks, validation processes, and monitoring to ensure data accuracy and reliability
• Collaborate with Data Analysts, Data Scientists, and Product teams to translate business requirements into dependable datasets
• Support real-time and streaming data use cases involving pricing, inventory, and customer interactions
• Optimize pipeline performance, scalability, and reliability
• Apply data governance, privacy, and security practices across the data lifecycle
• Support compliance requirements involving regulations such as GDPR and CCPA
• Help improve the overall reliability, maintainability, and performance of the data platform

Preferred

• Experience within the travel, hospitality, or transportation industries
• Familiarity with travel industry data structures and systems, including Passenger Name Records (PNRs), Global Distribution Systems (GDS), and IATA standards
• Experience integrating booking platforms, travel management systems, or third-party travel APIs
• Experience supporting predictive analytics, demand forecasting, or personalization initiatives
• Exposure to recommendation engines or customer behavior analytics
• Experience developing streaming data pipelines
• Experience working with complex pricing, inventory, or transactional datasets
• Travel industry experience
• Hospitality industry experience
• Transportation industry experience
• Travel data structures
• Passenger Name Records (PNRs)
• Global Distribution Systems (GDS)
• IATA standards
• Booking platform integration
• Travel management system integration
• Third-party travel API integration
• Predictive analytics
• Demand forecasting
• Personalization initiatives
• Recommendation engines
• Customer behavior analytics
• Streaming data pipelines
• Pricing datasets
• Inventory datasets
• Transactional datasets

Benefits

• 100% Remote. Work remotely while contributing to a modern, data-intensive engineering environment.

Company

• Data and AI recruitment, staffing, and training services
• London, England, GBR
• https://www.harnham.com/us
• Founded in 2006
• 201-500 employees

Qualifications

• US Citizens, Green Card Holders, GC EAD, and H4 Only
• 4+ years of professional Data Engineering experience
• Bachelor's degree in Computer Science, Engineering, or a related field
• Strong SQL skills, including writing and optimizing complex queries
• Proficiency in at least one programming language: Python, Java, or Scala
• Hands-on experience designing, building, and maintaining ETL/ELT pipelines
• Experience working with cloud platforms such as AWS, Azure, or GCP
• Experience with modern data engineering technologies such as Airflow, dbt, Kafka, Informatica IDMC, or comparable tools
• Strong understanding of data warehousing concepts, data modeling, and schema design
• Experience integrating data from multiple source systems
• Ability to build reliable, scalable, and maintainable data processing solutions
• Understanding of data quality, validation, and monitoring practices
• Ability to collaborate effectively with analytics, engineering, and product stakeholders
• Experience within the travel, hospitality, or transportation industries
• Familiarity with travel industry data structures and systems, including Passenger Name Records (PNRs), Global Distribution Systems (GDS), and IATA standards
• Experience integrating booking platforms, travel management systems, or third-party travel APIs
• Experience supporting predictive analytics, demand forecasting, or personalization initiatives
• Exposure to recommendation engines or customer behavior analytics
• Experience developing streaming data pipelines
• Experience working with complex pricing, inventory, or transactional datasets
• 4+ years of professional Data Engineering experience.

Required skills

• SQL, Python, Java, Scala, ETL/ELT Pipelines, AWS, Azure, and GCP, Apache Airflow, dbt, Apache Kafka, Data Warehousing, Data Modeling, Data Integration

Preferred skills

• Experience developing streaming data pipelines

Experience

• 4+ years