At a Glance
- Tasks: Lead a team of data engineers and shape data infrastructure and quality standards.
- Company: Join Sharegain, a pioneering platform revolutionising securities lending for all investors.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic, international team with a focus on AI and cutting-edge technology.
- Why this job: Make a real impact in democratizing capital markets with innovative data solutions.
- Qualifications: 5 years in Data Engineering, leadership experience, and strong SQL skills.
The predicted salary is between 80000 - 100000 £ per year.
About us
Sharegain began with one question: If the largest institutions solely exercise the right to lend their stocks, bonds, and ETFs, what would it take to unlock this revenue opportunity for every investor?
Our team of experts in the UK, US and Israel built the solution: a platform that empowers online brokers, private banks, and wealth managers to offer securities lending to their clients.
We call it SLaa S: Securities Lending as a Service.
It’s a fully digital, customizable, end-to-end solution that automates front- and back-office operations.
Institutions and investors are now free to earn more from what they own.
Every Sharegainer has their own backstory, but we all share an ambition to do things differently – bigger, better, and greater.
Together we’re on a mission to democratize capital markets by building a more liquid world.
The more we share, the more we all gain.
About the role
Sharegain is looking for an experienced and driven Data Team Lead to join our R&D organization.
In this role, you will lead a team of data engineers while taking hands‑on ownership of data infrastructure, pipelines, and quality standards.
You will play a key role in shaping how data is built, used, and trusted across the company - from our core platform through to analytics and AI-native applications.
This is both a technical leadership and people management role.
You will mentor the team, drive execution, collaborate cross-functionally, and contribute to the evolution of our data platform and Data Center monitoring solutions.
Responsibilities
- Team Leadership
- Lead, mentor, and grow a team of data engineers, fostering a culture of quality, ownership, and continuous improvement.
- Drive prioritization of team initiatives, balancing technical debt, new capabilities, and stakeholder requests.
- Serve as a key subject matter expert for data pipelines, governance, and analytics within the team’s scope.
- Data Engineering & Architecture
- Define and drive the data architecture strategy, including the design of scalable pipelines, ETL workflows, and Data Lake expansion.
- Oversee the design and maintenance of schemas, data structures, and data organization standards.
- Own data quality, integrity, and validation standards across the organization.
- Collaboration & Enablement
- Partner closely with R&D, architecture, and business teams to understand data needs and translate them into robust, scalable solutions.
- Promote data-driven practices across teams, providing guidance and technical enablement.
- Work effectively across distributed, international R&D teams.
- AI & Data Applications
- Lead the team in designing, optimizing, and evaluating AI prompts and data-driven applications; drive structured experimentation across models, prompts, and architectures.
- Take ownership of the team’s AI and data features - from design through implementation and production including AI-native capabilities such as autonomous agents and intelligent data workflows.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
- 5 years of hands‑on experience in Data Engineering, with at least 2 years in a team lead or technical leadership role.
- Proven ability to lead and develop technical teams in a fast-paced environment.
- Deep expertise in SQL and advanced analytics.
- Strong understanding of data and schema standards, data modeling, and governance concepts.
- Deep familiarity with Databricks.
- Hands‑on familiarity with the Azure cloud platform and cloud‑native development practices.
- Demonstrated experience designing and delivering robust ETL pipelines and data integration frameworks.
- Excellent analytical thinking combined with the ability to communicate complex ideas clearly to technical and non‑technical stakeholders.
- Strong system‑level problem‑solving skills with the ability to make architectural trade‑offs.
- Experience with modern analytics tools and platforms such as Spark, data lakes, and similar.
- Hands‑on experience with LLMs, AI prompt design, and building production‑grade AI applications.
- Advantage
- Previous experience as a DBA.
- Experience with No SQL databases.
- Ability to prototype and validate ideas quickly through Proof of Concepts.
- #J-18808-Ljbffr
Data Team Leader UK R&D · London · employer: Sharegain Ltd
At Sharegain, we pride ourselves on being an excellent employer that fosters creativity and innovation in the vibrant city of London. Our supportive work culture encourages collaboration and personal growth, offering interns the chance to develop their skills while working on impactful projects. With a paid internship and flexible hybrid working arrangements, we provide a unique opportunity for aspiring graphic designers to thrive in a dynamic fintech environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Team Leader UK R&D · London ·
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We think you need these skills to ace Data Team Leader UK R&D · London ·
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 Sharegain Ltd, 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 Sharegain Ltd. 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 Sharegain Ltd
✨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 Sharegain Ltd!
✨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.
