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Data Engineering Manager
il y a 3 semaines
We are looking for bright, creative, and ambitious people who can work in a dynamic and collaborative start-up environment. Hydrosat is determined to change the way people use space imagery and revolutionize agriculture. Join us on this mission and help transform the world.
**What you’ll do**
As a Data Engineering Manager, you will lead and mentor a team of data engineers developing and delivering high-quality software solutions. You will work closely with cross-functional teams, including product and program management, and translate business goals into reliable, scalable systems. Your role will involve hands-on technical guidance, development, code reviews, and supporting the growth of your team.
**Responsibilities**
- Drive technical innovation and improvements
- Ensure the team’s work quality is high and adheres to engineering standards
- Review architecture and design decisions
- Define team and individual objectives and key results
- Coach and mentor team members
- Define team processes and best practices
- Provide support with hands-on coding, help the team with critical tasks, and code reviews
- Facilitate communication within the team and with other stakeholders
- Foster a positive team culture
- Hire, onboard and retain engineering talent
- Conduct performance reviews and provide feedback
**Requirements**:
- 10+ years of data engineering experience, with a solid understanding of data engineering principles and practices
- 2+ years in a leadership role, with proven experience in building and coaching high-performing data engineering teams, including defining team objectives and aligning them with organizational goals.
- Proficiency in designing scalable, efficient, and maintainable data pipelines and architectures.
- Experience in building and managing ETL/ELT workflows for data extraction, transformation, and loading.
- Experience working with cloud services and infrastructure
- Demonstrable experience building effective working relationships with engineering teams
- Strong team player with demonstrated ability to take ownership and drive execution
- Excellent organizational and communication skills
- Proficiency in English (written and spoken)
**Desired Qualifications**
- Master’s degree in engineering
- Experience with orchestration frameworks to automate and monitor workflows, such as Apache Airflow or Dagster.
- Basic understanding of MLOps for deploying machine learning models within data pipelines.
- Understanding of MLOps best practices for monitoring, versioning, and maintaining models in production.
- DevOps experience (Docker, Kubernetes)
- Experience in Earth observation, AI, geospatial, imaging science, or computer vision fields
**Benefits**
- Attractive compensation
- Stock option plan
- Fast paced and dynamic start up environment
