Lead Data Engineer
Description
Enverus is a leading provider of energy analytics, trading & risk, and business automation solutions. We deliver business-critical insights to the global energy industry through a state-of-the-art SaaS platform built on industry-leading data and energy analytics. Our solutions deliver value across the entire energy value chain, empowering customers to be more agile, efficient, and competitive. The range of energy industry participants we serve includes exploration and production (E&P) companies and related businesses such as oilfield services, midstream, capital markets, power generators and utilities, energy traders, and downstream commercial & industrial energy consumers.
Enverus is seeking an experienced Lead Data Engineer to join our team in Brno. In this role, you will lead a new team of data engineers focused on streamlining and modernizing our data engineering infrastructure across multiple teams within the Energy Analytics division. Your responsibilities will include analyzing existing data infrastructure, planning, and implementing the transition to our common data manufacturing platform based on Spark and a data lakehouse.
What will you do:
- Lead day-to-day efforts of a small team of data engineers
- Collaborate with stakeholders from adjacent teams, including product management, application development, and QA
- Develop a roadmap for transitioning legacy data manufacturing pipelines to our common data manufacturing platform
- Design and implement ETL workflows
- Ensure data quality, consistency, and reliability throughout the transition
What you should have:
- Bachelor’s or master’s degree in computer science, data science, or a related field
- 7+ years of experience as a data engineer, with 2+ years of experience leading teams
- Strong experience with relational database systems, including Oracle, SQLServer, and Postgres
- Proficiency with Spark as a data manufacturing system
- Proficiency in SQL and Python
- Demonstrated ability to lead and motivate teams effectively
- Proficiency in project planning, execution, and delivery
- Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud)
- Knowledge of data governance principles and data security best practices
- Effective communication skills and fluency in English
Preferred Skills:
- Experience with Databricks
- Familiarity with containerization (Docker, Kubernetes)
- Experience with orchestration tools (e.g. Airflow, Prefect)
- Familiarity with the energy sector or related fields is desirable but not required.