Lead a team of data engineers through coaching, mentorship, and technical guidance
Support individual career development and performance feedback, creating growth opportunities for your team
Foster a collaborative, inclusive, and high-performance team culture
Guide the design and implementation of scalable data pipelines, platforms, and data products
Review architecture and code, provide technical direction, and help resolve complex engineering challenges by being hands-on when needed
Ensure delivery of high-quality, reliable solutions aligned with business goals and engineering best practices
Partner with product managers, data scientists, analysts, and business stakeholders to understand requirements and prioritize work
Translate business needs into actionable engineering detailed plans and ensure timely delivery of key projects
Communicate clearly across technical and non-technical teams to align on priorities and progress
Promote operational stability and reliability of data pipelines and systems through monitoring, alerting, and incident response
Advocate for high standards in data quality, governance, and compliance by collaborating with platform and data governance teams
Drive continuous improvement in development workflows and team productivity

6+ years of experience in data engineering or software engineering, with at least 1–2 years in a team leadership or mentorship role.
Strong technical background in building and maintaining data pipelines and platforms using tools like Spark, dbt, Airflow, Kafka, or Databricks.
Proficiency in one or more programming languages (e.g., Python, Scala, or Java) and SQL.
Experience with cloud data platforms (e.g., AWS, GCP, or Azure).
Experience working with behavioural analytics tools and data (e.g., Snowplow, Amplitude, or Google Analytics).
Strong communication and collaboration skills with a passion for working across teams.

Data Engineering Manager

Key skills