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- Tasks: Design and maintain data pipelines using Python for weather forecasting.
- Company: Join DRW, a leading trading firm with over 30 years of innovation and technology.
- Benefits: Enjoy competitive salary, bonuses, and comprehensive health benefits including flexible spending accounts.
- Why this job: Be part of a dynamic team that values integrity, innovation, and collaboration in a fast-paced environment.
- Qualifications: Bachelor's degree and 3 years of data engineering experience required; Python proficiency essential.
- Other info: Work with cutting-edge technologies and contribute to impactful weather analytics.
The predicted salary is between 108000 - 216000 £ per year.
DRW is 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. DRW is 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, meteorologists, and other engineers to build and maintain robust data pipelines that support our forecasting and analytics efforts.
Key Responsibilities:
- Design, develop, and maintain efficient and scalable data pipelines using Python.
- 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:
- Bachelor\’s degree in Computer Science, Engineering, Information Technology, or a related field.
- Minimum of 3 years of experience in data engineering or a related role.
- Experience with weather and climate datasets and tooling (e.g., Copernicus, Xarray, Zarr, NetCDF).
- Proficiency in Python programming and experience with libraries such as Pandas, NumPy, and FastAPI.
- 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:
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Knowledge of big data technologies (e.g., Hadoop, Spark).
- Experience in commodities (Agriculture, Natural Gas, Power).
The annual base salary range for this position is $150,000 to $300,000, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW\’s processing activities and our use of job applicants\’ data, please view our Privacy Notice at .
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Python Data Engineer - Weather Team employer: DRW Holdings, LLC.
Contact Detail:
DRW Holdings, LLC. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Data Engineer - Weather Team
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as Copernicus, Xarray, and NetCDF. Having hands-on experience or projects showcasing these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the weather data engineering field. Attend relevant meetups or webinars to connect with current employees at DRW or similar firms, as personal referrals can significantly boost your chances of landing an interview.
✨Tip Number 3
Stay updated on the latest trends in data engineering and cloud technologies. Being able to discuss recent advancements or how they could apply to DRW's operations during an interview can demonstrate your passion and commitment to the role.
✨Tip Number 4
Prepare to showcase your problem-solving skills through practical examples. Be ready to discuss past projects where you optimised data pipelines or handled data quality issues, as this aligns closely with the responsibilities of the position.
We think you need these skills to ace Python Data Engineer - Weather Team
Some tips for your application 🫡
Tailor Your CV: Make sure to customise your CV to highlight your experience with Python programming, data pipeline development, and any relevant tools mentioned in the job description. Use specific examples that demonstrate your skills in these areas.
Craft a Compelling Cover Letter: Write a cover letter that reflects your understanding of DRW's values and how your background aligns with their expectations. Mention your experience with weather datasets and cloud platforms, as well as your problem-solving skills.
Showcase Relevant Projects: If you have worked on projects involving ETL processes, data validation, or cloud-based solutions, be sure to include these in your application. Highlight your role and the impact of your contributions.
Highlight Collaboration Skills: Since the role involves working closely with data scientists and analysts, emphasise your communication and collaboration skills in your application. Provide examples of how you've successfully worked in teams to achieve common goals.
How to prepare for a job interview at DRW Holdings, LLC.
✨Showcase Your Python Skills
Make sure to highlight your proficiency in Python during the interview. Be prepared to discuss specific projects where you've used Python for data pipeline development, and mention any libraries like Pandas or NumPy that you are familiar with.
✨Understand Data Engineering Concepts
Brush up on key data engineering concepts, especially ETL processes and data storage solutions. Be ready to explain how you would design and optimise data pipelines, as this is crucial for the role.
✨Familiarise Yourself with Weather Data
Since the position is with the Weather team, having knowledge of weather and climate datasets will give you an edge. Research tools like Copernicus or Xarray and be prepared to discuss how you've worked with similar datasets in the past.
✨Demonstrate Collaboration Skills
Collaboration is key in this role, so be ready to share examples of how you've worked with data scientists, analysts, or other engineers. Highlight your communication skills and your ability to understand and meet data requirements.
