Team Lead, Data Engineering- Tech-Driven Prop Trading Firm
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My client is a leading tech-driven prop trading firm, trading their own capital across a broad range of asset classes, instruments and strategies in markets worldwide. They are looking for a highly skilled individual to lead and mentor a small team of Data Engineers responsible for the architecture of the firm's data platform.
This is a hands-on role, where you will split your time evenly between software development and leadership, driving project ownership and fostering a culture of excellence, innovation and continuous improvement. Your team is a vital part of the organization, responsible for building data platform capabilities, managed infrastructure and metadata management systems that underpin the common query layer.
You'll also coordinate closely with stakeholders to understand requirements and engagement with the platform, as well as contributing to process discussions - actively refining the team's working practices to maximize throughput.
This role encompasses people leadership, technical leadership, product ownership, and hands-on development and support activities. The successful candidate will have strong communication and interpersonal skills, capable of balancing and negotiating requests across multiple stakeholders.
Requirements:
Nice-to-have:
Experience/knowledge of any of the following:
Benefits:
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Contact
To apply for this role, or for further information, please contact:
Maia Ellis
in/maia-ellis-38a577193
This is a hands-on role, where you will split your time evenly between software development and leadership, driving project ownership and fostering a culture of excellence, innovation and continuous improvement. Your team is a vital part of the organization, responsible for building data platform capabilities, managed infrastructure and metadata management systems that underpin the common query layer.
You'll also coordinate closely with stakeholders to understand requirements and engagement with the platform, as well as contributing to process discussions - actively refining the team's working practices to maximize throughput.
This role encompasses people leadership, technical leadership, product ownership, and hands-on development and support activities. The successful candidate will have strong communication and interpersonal skills, capable of balancing and negotiating requests across multiple stakeholders.
Requirements:
- 5+ years' experience leading engineers in a technical environment, with a strong emphasis on mentoring, development, and team management
- 5+ years' hands-on data engineering experience with modern data technologies and/or building data-first products
- Experience with Airflow/Kafka/Spark, Python or Java
- Familiarity with data modeling practices, storage systems, and compute frameworks common to modern data engineering, and leveraging this knowledge in a fast-moving data ecosystem
Nice-to-have:
Experience/knowledge of any of the following:
- Building, scaling, and supporting large data platforms, and familiarity with the use cases, modeling techniques, and ergonomics expected by data platform users
- Managing technical roadmaps for platforms with a wide variety of users
- Common needs of data platform users within financial firms
- Owning projects, define requirements, and lead development and support initiatives
Benefits:
- Strong base salaries + bonus + generous benefits
- Join a relaxed but high-performance engineering culture with the chance to make a real impact
- Feel valued for your input and get rewarded for great ideas
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Contact
To apply for this role, or for further information, please contact:
Maia Ellis
in/maia-ellis-38a577193