Python Data Engineer - Weather Team

Python Data Engineer - Weather Team

Jobs LocationsLondon, RemoteEmployment typeRegularDepartmentTechnologyTargeted Start DateImmediate

DRWis a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.DRWis a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are seeking a skilled and motivated Python Data Engineer to join our Weather team. The ideal candidate will have a strong background in Python programming, data pipeline development, and experience with various data processing and storage solutions. You will work closely with data scientists, analysts and other engineers to build and maintain robust data pipelines that support our forecasting and analytics efforts.

Key Responsibilities:

Extract, transform, and load (ETL) data from various sources into our data platform.
Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions.
Monitor and optimize the performance of data pipelines to ensure data quality and reliability.
Implement data validation and error-handling mechanisms to ensure data accuracy.
Work with cloud-based data storage and processing solutions (e.g., AWS, GCP, Azure).
Stay up-to-date with industry trends and emerging technologies to continuously improve our data engineering capabilities.

Qualifications:

Minimum of 3 years of experience in data engineering or a related role.
Proficiency in Python programming and experience with libraries such as Pandas, NumPy, and FastAPI.
Experience with weather and climate datasets and tooling (e.g., Copernicus, Xarray, Zarr, NetCDF).
Experience with ETL tools and frameworks (e.g., Apache Airflow, Apache NiFi, Talend).
Strong understanding of relational databases and SQL.
Experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services.
Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
Experience with version control systems (e.g., Git).
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.

Preferred Qualifications:

Knowledge of big data technologies (e.g., Hadoop, Spark).
Experience in commodities (Agriculture, Natural Gas, Power).