Manager, Data Engineering

As a Data Engineer, your responsibilities include designing, building, and maintaining scalable data infrastructure and pipelines that enable data-driven decision making across the organization.

Requirements

• Bachelor’s degree in computer science, Data Engineering, Information Systems, or a related technical field.
• Proficiency in programming languages such as Python, Java, and SQL with experience in relevant data processing libraries and frameworks.
• Strong understanding of data modelling, ETL/ELT processes, and data warehouse concepts.
• Experience with cloud data platforms (AWS, Azure, GCP) and their data services (S3, Redshift, Big Query, Databricks, etc.).

Benefits

• Competitive salary
• Core bank funding for retirement savings
• Medical and life insurance
• Flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days)
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform
• Development courses for resilience and other human skills
• Global Employee Assistance Programme
• Sick leave
• Mental health first-aiders
• Self-help toolkits