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Data Engineering Manager

3 weeks, 3 days ago
France, Sweden, Switzerland, United States, Canada, United Kingdom, Denmark, Estonia, Ireland, Netherlands, Portugal
Full-time
Lead
Data Engineer
Software Development
Apache Airflow Dagster GCP Grafana Kubernetes Machine Learning PostgreSQL Python SQL
Apply Now
Overstory

Overstory

Overstory uses AI and satellite imagery to prevent wildfires and power outages by analyzing vegetation for electric utilities.

Utilities
11-50
Founded 2018
$25M raised
View All Jobs 13

Description

  • Lead up to approximately 10 data engineers and GIS specialists across multiple cross-functional teams.
  • Enable engineers to deliver high-quality, reliable data platforms and pipelines on a daily basis.
  • Attract and grow talent by recruiting from your network and supporting team development.
  • Provide regular 1:1 coaching, feedback, and mentorship to help team members thrive.
  • Foster an inclusive, caring, and collaborative team culture.
  • Partner with product managers, machine learning engineers, and other stakeholders on data architecture and platform decisions.
  • Ensure data architecture, pipelines, and data models support product, analytics, and machine learning goals.
  • Work with Product and Engineering leaders to improve data engineering practices and introduce capabilities that improve data access and reliability.
  • Contribute technically when needed by reviewing data models, debugging pipelines, and guiding architecture decisions.

Requirements

  • At least 2 years of experience leading and managing data engineers across multiple teams.
  • Experience working in a high-growth scaleup environment.
  • Demonstrated product mindset and ability to show business impact through data platforms and data-driven systems.
  • Experience with Python and SQL.
  • Experience with data pipeline orchestration tools such as Airflow or Dagster, or similar tools.
  • Experience with data warehouses or lakehouses, Postgres databases, and data pipelines.
  • Comfort working in a build-it, run-it environment such as GCP, Cloud Run, Grafana, and Kubernetes, or similar.
  • Understanding of data reliability, observability, and pipeline operations.
  • Strong leadership skills with experience mentoring and coaching engineers at all levels.
  • Excellent communication and cross-functional collaboration skills.
  • Passion for climate-related work.
  • Interest in learning new technologies and staying current with data engineering trends.
  • Experience with maps, imagery, or geospatial domains is a nice to have.
  • Candidates must be able to work from one of the listed countries: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Denmark, Switzerland, or Canada.
  • Candidates must be able to work within Europe time zones (GMT/WET, CET, EET) or Eastern North America time zones (NST, AST, EST).

Benefits

  • Competitive salary and equity.
  • Flexible working environment with a high degree of autonomy.
  • Remote working budget.
  • Educational budget and time to develop new skills.
  • Mission-driven work focused on reducing wildfires and addressing the climate crisis.
  • A supportive, vibrant team culture built on openness, tolerance, and respect.
  • Option to occasionally meet in person for collaboration, plus an annual team gathering.

Interested in this position?

Apply directly on the company website

Apply Now

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