Lead Data Engineer

Reporting to the Head of Data, Insights & Analytics you will lead a team of Data Engineers in the design, development and maintenance of Travel Counsellors’ data infrastructure. This role will be a high impact, multi-faceted working on data pipelines, our new strategic Data Platform and operationalising our analytical / data science solutions.

Principal Accountabilities

• Support the design and implementation of data pipelines to ensure accurate, consistent and timely data across our analytical and reporting needs
• Work closely with Data Scientists, Analysts and business SMEs to automate and scale our machine learning and AI capabilities
• Support the development of our new cloud-based Data Platform, transforming systematic data into a business view for reporting and analytics
• Take ownership of our existing Microsoft technology (SQL Server, SSIS, SSAS, SSRS) whilst delivering on our migration plans to cloud-based technology
• Create and maintain comprehensive documentation for data processes and architectures. Provide training and support to team members and stakeholders.
• Stay updated on industry trends and best practices in data engineering, advocating for continuous improvement within the team.
• Lead data-related projects, ensuring timely delivery while balancing multiple priorities and stakeholder needs.

·       Competitive salary + annual bonus

·       Flexible hybrid working

·       Career development opportunities

·       25 days holiday (increasing to 28 after 5 years)

·       Enhanced Maternity/Paternity pay

·       1 day paid charity day

·       Company events and incentives

·       3x salary death in service benefit

·       Pension scheme

·       Private Medical Insurance or Healthcare Cash Plan

·       Free breakfast and beverages

• Highly proficient in SQL
• Highly proficient in Python
• Strong understanding of data modelling techniques, e.g. 3NF, Kimball
• Experience using cloud-based data platforms and infrastructure, e.g. Snowflake, BigQuery etc
• Experience building data integrations and understanding of best practices
• Understanding of the development lifecycle and best practices
• Desire to build relationships with an ability to deliver solutions to meet customers needs
• Experience in deploying and maintaining machine learning models desirable
• Experienced in the use of BI tools such as PowerBI / Tableau desirable
• Understanding of the regulatory environment and the need for data to comply with GDPR.