Data Engineering Manager at Collinson overseeing data engineers and scalable data pipelines. Leading technical delivery and team development to drive impactful data solutions.
Responsibilities
Lead, mentor, and grow a team of skilled data engineers
Oversee the development of robust, scalable data pipelines on AWS and Snowflake
Support architectural decisions and enforce best practices in data engineering, automation, CI/CD, and agile delivery
Align engineering delivery with business objectives by working closely with Product, Analytics, and Data Governance teams
Communicate technical decisions clearly to both technical and non-technical stakeholders
Advocate for reliable, scalable, and modern data solutions across the organization
Requirements
Proven track record of managing high-performing, distributed data engineering teams
Passion for coaching, mentoring, and creating structured career pathways
Strong ability to foster a psychologically safe, empowering team environment
Deep knowledge of modern data architectures (Data Lake, Lakehouse, Data Mesh)
Strong experience with cloud platforms — ideally AWS and Snowflake
Hands-on proficiency with Python, SQL, and tools like Airflow, dbt, or AWS Glue
Experience with event-driven systems (Kafka, Kinesis), infrastructure-as-code (Terraform), and data observability
Background in data modeling and building scalable, maintainable solutions
Experience delivering data solutions in Agile environments (Scrum, Kanban)
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