Senior Enterprise Technology Engineer

As Senior Enterprise Tech Engineer, you will establish and lead a global data engineering squad within TA&I to build enterprise-scale data pipelines. You’ll mentor 8–10 engineers while shaping the data platform strategy across trading functions. Expect to integrate Python/SQL-based pipelines with Airflow on AWS, and to explore Generative AI capabilities to advance trading analytics. This role combines hands-on engineering leadership with cross-functional collaboration and a focus on reliable, scalable data solutions.

• flexible working options
• generous paid parental leave
• excellent retirement benefits
• reasonable accommodation for disabilities

• Establish and lead a global data engineering squad and set technical direction
• Design and implement scalable data pipelines using Python, SQL, and Apache Airflow
• Lead ETL of large time-series datasets from diverse sources
• Apply Generative AI techniques to deliver new capabilities for trading analytics
• Leverage AWS services (S3, Redshift, EC2, Lambda) for secure, cost-effective pipelines
• Coach and mentor 8–10 engineers, fostering knowledge sharing and career growth
• Drive Agile practices using Kanban/Scrum and Azure DevOps to manage work
• Create data visualisations with Tableau/Power BI for diverse audiences
• Champion automation and maintain code under source control with CI/CD
• Document data pipelines and procedures for maintainability and transfer
• Promote continuous improvement through retros and RCA-driven investments
• Collaborate effectively with global, cross-functional teams
• Communicate complex concepts clearly to technical and non-technical stakeholders
• Foster high-performing teams and a culture of innovation

• 10+ years as a Data Engineer with leadership and mentoring experience
• Experience building market data solutions in trading/financial services
• Deep Python (Pandas, Selenium/BeautifulSoup/Requests, ML libraries) expertise
• Generative AI techniques (agents, RAG, prompt engineering, AI SDLC)
• Advanced SQL and PostgreSQL (data modeling/design)
• Large-scale data pipelines for time-series data
• Apache Airflow for orchestration at scale
• AWS cloud skills (S3, Redshift, EC2, Lambda)
• SDLC design and execution with Git and CI/CD (ADO or Jenkins)
• Linux experience and strong Git proficiency
• Excellent written and verbal communication; global collaboration
• Passion for building teams and continuous learning

• leadership
• mentoring
• collaboration
• Python (Pandas, web scraping libraries), SQL (advanced optimization)
• Apache Airflow
• AWS (S3, Redshift, EC2, Lambda)