Roles:
Data
Must-have skills:
PythonSQLDatabricks
Considering candidates from:
Europe
Europe
Work arrangement: Remote
Industry: Information Services
Language: English
Level: Senior
Required experience: 4+ years
Size: 2 - 10 employees
Company
Renewcast is a leader in wind power generation forecasting, offering a proprietary SaaS platform that provides more accurate day-ahead and intra day wind production forecasts based on weather and wind turbine generator data. This technology delivers significant cost savings for wind park operators.
Description
Now the company is looking for a Data Engineer to join their growing Data & ML platform team
Tasks:
Tasks:
- Data Ingestion: Retrieve and securely store data from multiple sources and formats at regular intervals
- Data Processing: Develop and optimize scalable data processing scripts using tools like Polars, Xarray, on distributed compute environments
- Data Monitoring: Build tooling for continuous monitoring and quality control of data using frameworks like Great Expectations.
Must-have:
- 4-8 years of relevant experience in Data Engineering, in the renewable energy or wind energy forecasting space
- BSc/MSc in Computer Science or equivalent practical experience
- Proven experience with large-scale data pipelines (TB-scale) in production environments
- Experience with Databricks and Github actions
- Strong proficiency in Python, SQL, and Git
- Fluent in English, with the ability to travel for team meetings across Europe
- Must be eligible to live and work in the EU without sponsorship
Nice-to-have:
- Cloud certification (e.g., AWS, Azure, GCP) at the associate level
- Familiarity with data formats such as NetCDF, GRIB, or Zarr
- Experience in handling high-dimensional data in a production environment
- Experience with CI/CD for data engineering workflows
Benefits and conditions:
- Trial period: 3 months
- A dynamic start-up environment where you’ll have the freedom to shape your role
- A young, close-knit, and ambitious team of data specialists
- Work in an international team with colleagues from Italy, Estonia, and The Netherlands
- Ability to make an impact in the clean-tech space
- Flexibility of remote work with occasional collective meetups across Europe
Interview process:
- Intro call with Toughbyte
- 30-minute call with ML and Data Platform Manager
- Call with CTO
- Case study (1,5 hours long) + case evaluation (1 hour)
Questions
B2B can be an option