At a Glance
- Tasks: Lead a team of data engineers to build and enhance DRW's data platform.
- Company: Join DRW, a leading trading firm with a culture of innovation and respect.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative atmosphere with global teamwork and excellent career advancement potential.
- Why this job: Make a real impact in a fast-paced environment while developing cutting-edge data solutions.
- Qualifications: 5+ years in data engineering leadership and modern data technologies.
The predicted salary is between 80000 - 100000 £ 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.
The Data Ecosystem team is an important part of DRW's Unified Platform (UP) organization, building the platform capabilities, managed infrastructure, and metadata management systems that underpin our common query layer and power thousands of batch and streaming pipelines across DRW. As a Team Lead of our Data Ecosystem team, you will lead a team of Data Engineers who craft the architecture of DRW's data platform, establishing data infrastructure, creating metadata management tools, and scaffolding governance processes that accelerate the time to onboard datasets, curate them, and make them available throughout the firm. This role encompasses people leadership, technical leadership, product ownership, and hands-on development and support activities.
Key Responsibilities
- Lead and mentor a team of data engineers with a variety of skill sets, fostering a culture of excellence, innovation, and continuous improvement.
- Use strong leadership skills in mentoring, coaching, feedback, development, negotiation, and conflict management to enhance team performance and help people have a great experience in their work life.
- Coordinate closely with stakeholders to grow the userbase and deliver high impact functionality to the data platform.
- Engage in hands-on software development and support activities.
- Drive project ownership, including defining requirements, scheduling, resource allocation, and ensuring timely delivery of projects.
- Consult with other development teams to understand how they engage with the data platform.
- Contribute to process discussions, challenging ideas and actively refining the team's processes to maximize throughput.
Required Qualifications
- 5+ years of experience leading engineers in a technical environment, with a strong emphasis on mentoring, development, and team management.
- 5+ years of experience working with modern data technologies and/or building data-first products.
- Familiarity with the data modeling practices, storage systems, and compute frameworks common to modern data engineering, with a track record of leveraging this knowledge within a fast-moving data ecosystem.
- Strong communication and interpersonal skills, capable of balancing and negotiating requests across multiple stakeholders.
Desirable Qualifications
- Experience building, scaling, and supporting large data platforms, and familiarity with the use cases, modeling techniques, and ergonomics expected by data platform users.
- Experience managing technical roadmaps for platforms with a wide variety of users.
- Familiarity with the common needs of data platform users within financial firms.
- History of balancing feedback from multiple users, translating technical roadblocks, refining processes, and improving delivery.
- Ability to own projects, define requirements, and lead development and support initiatives.
- Excellent problem solving skills, with the judgment and capacity to deliver data engineering and software engineering artifacts that fit the needs of our users.
- Track record of fostering collaboration and effective teamwork across global locations.
Team Lead, Data Engineering employer: Job Search Place Limited
At DRW, we pride ourselves on being an exceptional employer that fosters a culture of innovation, integrity, and collaboration. As a Team Lead in our Data Ecosystem team, you will not only lead a talented group of data engineers but also have the opportunity to shape the future of our data platform in a dynamic and supportive environment. With a commitment to employee growth and a focus on work-life balance, DRW offers a unique chance to thrive in the heart of Chicago's vibrant financial district while making a meaningful impact across global markets.
StudySmarter Expert Advice🤫
We think this is how you could land Team Lead, Data Engineering
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We think you need these skills to ace Team Lead, Data Engineering
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Job Search Place Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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How to prepare for a job interview at Job Search Place Limited
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
