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 dynamic environment while leading cutting-edge data projects.
- Qualifications: 5+ years in data engineering leadership and modern data technologies.
The predicted salary is between 63000 - 77000 £ 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
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.
For more information about DRW’s processing activities and our use of job applicants’ data, please view our Privacy Notice at https://drw. com/privacy-notice.
California residents, please review the California Privacy Notice for information about certain legal rights at https://drw. com/california-privacy-notice .
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Team Lead, Data Engineering employer: DRW Montreal
DRW is an exceptional employer that fosters a culture of innovation and excellence, making it an ideal place for professionals in the data engineering field. With a commitment to employee growth through mentorship and hands-on development opportunities, team members are empowered to lead impactful projects while collaborating with diverse stakeholders. Located in Chicago, DRW offers a dynamic work environment where autonomy and respect are paramount, ensuring that employees can thrive both personally and professionally.
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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 DRW Montreal, 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.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at DRW Montreal. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at DRW Montreal
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at DRW Montreal!
✨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.
