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Metro-based engineering manager role with common title but some niche data skills, moderate candidate competition.
Data engineering leadership is moderately transferable across industries but favors AWS/Airflow expertise.
Multiple mandatory data-engineering technologies and managerial requirements indicate strict filtering.
Own end-to-end implementation and delivery of projects and programmes involving new capabilities or large-scale product changes.
Manage and supervise internal and external development teams, ensuring alignment with business objectives and prioritised technology deliverables.
Design and oversee data extraction, transformation pipelines and schedule monitoring to ensure data quality and timeliness, including reporting risks and progress to senior management.
Work Experience Required: Proven experience managing a team of developers in an objective-oriented environment.
Strong technical expertise in enterprise data warehousing, ETL/ELT solutions, and cloud technologies (AWS services such as Lambda, Redshift, Glue, API Gateway).
Proficient in programming languages (Python, Node.js) and related tools including Airflow, SQL databases (PostgreSQL, MySQL, Microsoft SQL Server), and API usage (REST, GraphQL).
Experience with Agile methodologies including backlog grooming, WIP management, and deployment tools (GitHub, TravisCI).
Experienced in technical delivery management bridging business needs with technology teams, capable of translating business strategy into technical roadmaps.
Skilled at managing multiple stakeholders and prioritising in fast-paced, changing environments with complex data ecosystems.
Strong leadership in collaborative environments, driving code and design reviews and fostering data-driven decision-making.