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Analytics & Data Engineering Team Lead

Proxymity does not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual’s status in any group or class protected by applicable federal, state or local law. Proxymity encourages application from minorities, women, the disabled, protected veterans and all other qualified applicants.

 

About Proxymity

Proxymity is a market leading digital investor communications platform focused on providing regulatory compliant products focused initially on Proxy Voting and Shareholder Disclosure services. Founded in London and spun out of Citi, from the very beginning our mission focused on benefitting the whole capital markets ecosystem, rather than just one part or one player within it. This ethos is endorsed by investment from global consortium of some the industry’s most influential financial institutions.

 

About Us - Proxymity

 

Proxymity’s service offering is now a Global one, matching the needs of our custodian and broker community respectively. This is reflected by a fast-growing client base who have long desired an improved service by a trusted vendor. As a result, we are a fast-growth company and have already gone from 10 - 200+ employees in the last four years with a global footprint in London, Manchester, New York, Tel-Aviv, Melbourne, and Malasiya.

The role

Proxymity is looking for an experienced Engineering Team Lead to help drive the delivery of our next generation data infrastructure and monetise Proxymity’s unique data universe.

As the Analytics & Data Engineering Team Lead, you will guide a team of Data Engineers and Data Analysts, providing technical leadership, fostering collaboration, and ensuring timely delivery of key projects. You will also offer clear technical direction that aligns with Proxymity’s long-term data infrastructure strategy.

Working closely with our Product team, the Analytics & Data Engineering Team Lead will also help shape the Analytics and Reporting roadmap and identify technologies and techniques to improve how we deliver initiatives and insights effectively.

You will collaborate with other Engineering Team Leads and Engineering Directors to contribute to Proxymity’s broader technical strategy and ensure alignment across teams. This role requires hands-on experience in AWS-based data infrastructure and modern data modelling tools, as well as the ability to engage in detailed technical discussions with engineers across different teams.

  • 5+ years experience as Analytics & Data Engineering Team Lead or similar role that encompasses leadership of both data engineering and data analytics teams.
  • Strong collaboration and problem-solving skills; Can form effective, supportive relationships with colleagues across the business and demonstrates a “problem solving” rather than a “problem watching” approach to challenges.
  • Experience in managing predictable delivery through effective forward planning, ensuring initiatives meet expected timelines while managing risks.
  • Technical leadership experience; able to clearly articulate technical decisions to other directors and engineers across the business.
  • Passionate about developing people; Invest their own time into the personal development of their team members and cares deeply about the continual improvement of their team’s productivity and capabilities.
  • Proficiency in AWS-based data solutions, including pipelines and data warehouses/lakes. Experience with DBT or similar data modelling tools and strong SQL skills, including query optimization.
  • Broad experience of data analytics and reporting platforms for a large and diverse user base; Experience of Looker, Power BI or Tableau as well as experience of developing a self-service reporting solution.
  • Has hands on experience of a modern programming language (Python, Java, etc.).
  • Headspace subscription
  • Birthday off in addition to annual leave
  • Access to Absorb Learning
  • Improved family-friendly policies
  • Hybrid working – One day in our London office per week
  • Choose your tech
  • 2 duvet days a year
  • 1 volunteer day a year
  • 4-week sabbatical after 4 years at Proxymity
  • Workation- Our Workation policy means you can work anywhere in the world for up to 45 days per calendar year.
  • A dog friendly office with snacks and free drinks
  • Companywide parties twice a year
  • Team socials
  • A company wins programme
  • Companywide panels on variety of subjects like diversity and inclusion, wellbeing etc.

To assist us with evolving our DEI efforts and ensuring our process is as inclusive as possible, we will be sending out a brief diversity and inclusion survey for you to complete if you choose to apply for this position. This will be completely anonymous and is in no way tied to your application. If you could please take a few minutes out of your day to complete this that would be much appreciated.

Average salary estimate

$135000 / YEARLY (est.)
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$120000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Analytics & Data Engineering Team Lead, Proxymity

Are you ready to take on a dynamic challenge with Proxymity as our Analytics & Data Engineering Team Lead? If you’re passionate about data infrastructure and leading teams to success, this is the perfect opportunity for you. Proxymity, a pioneering digital investor communications platform, is on the lookout for someone with a wealth of experience to help us drive the delivery of our next-gen data solutions. In this role, you'll guide a team of talented Data Engineers and Analysts, fostering a collaborative environment and setting the standard for timely project deliveries. Your impactful leadership will shape technical strategies that align with our long-term goals. With your expertise in AWS-based data infrastructure and hands-on experience in modern data modeling tools, you'll steer technical discussions and drive the analytics and reporting roadmap alongside our Product team. At Proxymity, we believe in developing our team's capabilities, and your commitment to mentoring and problem-solving will resonate throughout the organization. We're not just looking for a leader; we want someone passionate about enhancing productivity and making a genuine difference. Plus, you’ll enjoy excellent benefits such as hybrid working, extra days off, and opportunities for professional development. If you’re eager to be part of a fast-growing company with a global footprint and a mission that benefits the entire capital markets ecosystem, we can't wait to hear from you!

Frequently Asked Questions (FAQs) for Analytics & Data Engineering Team Lead Role at Proxymity
What are the main responsibilities of the Analytics & Data Engineering Team Lead at Proxymity?

As the Analytics & Data Engineering Team Lead at Proxymity, you will oversee the delivery of our next-generation data infrastructure, lead a talented team of Data Engineers and Analysts, and guide the analytics and reporting roadmap. Your role involves fostering collaboration across teams, setting clear technical direction, and engaging in detailed technical discussions that align with Proxymity's strategic objectives.

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What qualifications are necessary for the Analytics & Data Engineering Team Lead position at Proxymity?

To excel as the Analytics & Data Engineering Team Lead at Proxymity, you should have at least 5 years of experience in a similar leadership role. You need strong technical skills in AWS-based data solutions, experience with data modeling tools like DBT, and proficiency in SQL. A passion for developing team members and excellent collaboration skills are essential to succeed in this role.

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What does the work culture look like for the Analytics & Data Engineering Team Lead at Proxymity?

At Proxymity, we have a vibrant and inclusive work culture that promotes collaboration and personal development. Our Analytics & Data Engineering Team Lead will engage in team socials, companywide panels, and enjoy flexible work options including hybrid working and 'Workation' policies. We prioritize your wellbeing and professional growth while celebrating success together as a team.

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How does Proxymity support growth and development for the Analytics & Data Engineering Team Lead?

Proxymity fosters an environment of continuous learning and improvement for its employees, especially in leadership roles like the Analytics & Data Engineering Team Lead. We encourage mentorship, offer access to learning platforms, and provide a four-week sabbatical after four years of service, allowing you to recharge and expand your skills.

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What tools and technologies are used by the Analytics & Data Engineering Team Lead at Proxymity?

In the role of Analytics & Data Engineering Team Lead at Proxymity, you will work primarily with AWS-based solutions, modern data modeling tools like DBT, and data analytics platforms like Looker, Power BI, or Tableau. You will leverage these technologies to drive insights and enhance reporting solutions for a diverse user base.

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Common Interview Questions for Analytics & Data Engineering Team Lead
Can you describe your leadership approach as an Analytics & Data Engineering Team Lead?

Your leadership approach should focus on collaboration, empowerment, and clear communication. Discuss how you have fostered trust within teams, encouraged innovation, and set clear expectations to drive success. Highlight any specific examples that illustrate your ability to mentor team members and promote a positive work culture.

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What experience do you have with AWS-based data infrastructure?

Explain your hands-on experience with AWS data services, detailing specific projects you've worked on. Discuss your familiarity with data warehouses, data lakes, and your ability to optimize data pipelines. Providing real examples of how you've leveraged AWS to solve data challenges will showcase your expertise.

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How do you ensure timely project delivery while managing risks?

Emphasize your skills in forward planning and risk assessment. Discuss methodologies you've utilized for project management, how you maintain timelines, and proactively address potential roadblocks. Illustrate your strategies for communicating with stakeholders and ensuring alignment for successful project outcomes.

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What is your experience with data modeling tools like DBT?

Discuss your proficiency with DBT or similar tools, including projects where you implemented data modeling practices. Highlight your understanding of creating optimal data models that cater to analytics and reporting requirements, showcasing your ability to translate complex data needs into actionable insights.

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How do you promote personal development within your team?

Demonstrate your commitment to developing your team's skills by sharing specific strategies you use, such as one-on-one coaching, fostering an environment of learning, or providing resources for professional growth. Mention how you’ve worked with team members to set personal goals and measure progress.

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Can you explain a challenging technical problem you faced and how you solved it?

Select a specific technical challenge related to data engineering or analytics. Describe the steps you took to analyze the problem, the solutions you considered, and the outcome achieved. This shows your critical thinking and problem-solving capabilities within a technical context.

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How do you approach collaboration with Product and other Engineering teams?

Your approach to cross-team collaboration should focus on open communication, regular check-ins, and alignment on shared goals. Discuss previous experiences where you successfully collaborated with Product teams to shape roadmaps or engage with other engineering leads to align strategies effectively.

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What role does data analytics play in decision-making within your team?

Articulate how data analytics informs decisions and drives strategies in your team. Discuss instances where analytics have led to significant business outcomes or improved processes, showcasing your ability to translate data-driven insights into actionable recommendations.

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What innovative practices have you implemented in your previous roles?

Share examples of innovative practices you’ve introduced, whether in data engineering workflows, team dynamics, or analytics reporting. Provide insight into how these practices improved efficiency or team morale, demonstrating your forward-thinking mindset.

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How do you handle conflicts within your team?

Explain your conflict resolution strategies, focusing on active listening, empathy, and finding common ground. Share an example of how you navigated a conflict among team members, showcasing your ability to maintain a productive work environment and foster strong interpersonal relationships.

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Proxymity is a digital investor communications platform. Proxymity connect issuers, intermediaries and investors in real time via our unique digital pathway, which creates more efficient, more accurate and more transparent solutions.

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Full-time, hybrid
DATE POSTED
March 19, 2025

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