Data Engineering Manager, Overstory

• Passionate about climate
• Experience working in a high growth scaleup environment
• Product minded and able to demonstrate significant impact you have had on a business through the application of data platforms and data-driven systems
• At least 2 years experience leading and managing data engineers across multiple teams
• Experience working with the following (or similar) technologies: Python, SQL, data pipeline orchestration tools (e.g., Airflow, Dagster), data warehouses/lakehouses, Postgres DB, data pipelines
• Ability to unblock your team by contributing at a senior engineering level (e.g., reviewing data models, debugging pipelines, guiding architecture). How hands-on you'll be in this role will depend on team size and maturity
• Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar, with an understanding of data reliability, observability, and pipeline operations
• Strong leadership skills with the ability to mentor and coach engineers at all levels
• Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
• Passion for learning and staying updated with evolving technologies and industry trends, particularly in data engineering and data infrastructur
• If you don’t meet all of the above yet feel you have lots to offer, please apply anyway

Desirable

• As a Data Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 data engineers and GIS specialists
• You will support teams working on data processing and pipelines to enable ML-powered product capabilities
• Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain
• You will be accountable for the technical direction and delivery outcomes of your area
• You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work
• Your primary focus will be on building high-performing teams and driving results through others
• You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making
• Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)
• Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis
• Grow the teams by attracting great talent from your network
• Foster an inclusive and caring culture where everyone can do their best work
• Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations
• Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals
• Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals
• Work closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities