Overview

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.

Responsibilities

• 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.

Benefits

• 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

Requirements

• 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