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For Companies At a Glance
- Tasks: Lead data strategy and manage a complex data ecosystem while mentoring a growing team.
- Company: LendInvest, the UK's leading FinTech platform for property finance.
- Benefits: Competitive salary, hybrid work, 25 days holiday, private healthcare, and more.
- Other info: Join a diverse team committed to growth, inclusion, and community.
- Why this job: Shape the future of data in a dynamic environment and make a real impact.
- Qualifications: Expertise in Python, SQL, and experience with cloud-based data platforms.
The predicted salary is between 60000 - 80000 ÂŁ per year.
LendInvest is the UK’s leading FinTech platform for property finance. Over the past 17 years, we have grown from just our two founders to a team of over 200 working to make property finance simple for everyone. A workplace culture built around trying new things, getting things done, and having fun while we do it has helped us lend more than £7.5 billion of mortgages, put thousands of new or improved homes into the UK housing market, and successfully launch on the London Stock Exchange. We have big plans to continue growing the business, our products, our technology, and our people.
About your work
Reporting to the Head of Engineering, this is a critical “doer-leader” position focused on stabilising and remediating our data foundations while shaping our long‑term data strategy. This role is ideally suited to a current Senior or Lead Data Engineer ready to take on team leadership or an existing Data Team Lead looking for a new challenge. You will begin as a hands‑on technical lead, with a clear path to owning the data platform and building and leading the team around it. You will inherit a complex architectural landscape and play a key technical role working alongside our architecture team for our 2026 Data Transformation Programme. Initially, you will own technical direction, challenging external partners where required to remediate legacy ingestion issues. Following the initial transformation phase, you will take full ownership of the platform, ensuring data integrity and improving confidence in data‑driven decision making across the business.
Key Responsibilities
- Partner with external delivery specialists to troubleshoot and resolve "inherited" ingestion failures and silent data mutations.
- Take responsibility for a complex data ecosystem, addressing legacy ingestion patterns while incrementally building towards a more scalable, maintainable, and well‑architected platform.
- Automate manual data reconciliations and implement robust observability, testing, and validation frameworks to detect silent data issues, enforce data integrity, and improve trust in our pipelines.
- Manage the transition from partner‑led delivery to a sustainable internal "run" model, ensuring knowledge is fully transferred, documented, and embedded within the team.
- Build and scale a new internal data engineering function (initially hiring 1-2 engineers), reducing reliance on external partners.
- Establish engineering standards and challenge existing practices where necessary, and upskill Data Analysts to ensure insights are built on a governed, high‑trust data foundation.
About you
- Expertise in Python (or similar) and advanced SQL, with experience building and maintaining reliable, well‑structured data pipelines and transformation layers.
- Hands‑on experience designing and operating cloud‑based data platforms (e.g., AWS + modern warehouse), including orchestration, storage, and compute.
- Lead by example, setting engineering standards, mentoring others, and helping build a high‑performing data engineering capability.
- Experience applying testing, CI/CD, infrastructure as code, and version control to data platforms to ensure reliability and maintainability.
- Track record of implementing data validation, observability, and lineage to improve data trust and transparency.
- Comfortable working with existing platforms, identifying root causes of instability or inefficiency, and incrementally improving them.
- Able to work closely with analysts, product, and engineering teams to align data solutions with business needs.
Benefits & perks
- Competitive salary + company bonus scheme
- Hybrid working policy
- 25 days holiday (increasing with the length of service)
- Private healthcare
- Enhanced parental leave
- Matched pension contributions up to 4%
- Critical illness cover
- Employee Assistance Programme & Mental Health support
- Life assurance
- Regular performance reviews to promote a culture of growth and development
- Leadership training for managers
- Give as you earn scheme for charitable donations
- Support for attending conferences and professional learning & development
- Discounts via Perkbox
- Cycle to work scheme
- Season ticket loan
- Electric car loan scheme
- Monthly socials & annual offsite
Diversity, Inclusion & Belonging at LendInvest
At LI we believe in bringing your whole selves to work, we are committed to a culture of belonging where individuals can form a genuine community. We are proud to be an equal opportunities employer and are committed to building a team that represents a variety of backgrounds, perspectives and skills. We are happy to discuss and implement reasonable adjustments to support candidates throughout the recruitment process.
Data Lead in Glasgow employer: LendInvest
Contact Detail:
LendInvest Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Lead in Glasgow
✨Tip Number 1
Network like a pro! Reach out to current employees at LendInvest on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Lead role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves a lot of hands-on work with data pipelines and cloud platforms, be ready to discuss your past projects and how you tackled challenges. We want to see your problem-solving skills in action!
✨Tip Number 3
Show off your leadership style! This position is all about being a 'doer-leader', so think about examples where you've led a team or project. Highlight how you’ve mentored others and set engineering standards in your previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the LendInvest team. Let’s get you that Data Lead position!
We think you need these skills to ace Data Lead in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Lead role. Highlight your experience with Python, SQL, and cloud-based data platforms. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our team. Let us know why you're excited about joining LendInvest!
Showcase Your Leadership Skills: Since this is a 'doer-leader' position, emphasise any leadership experience you have. Talk about how you've mentored others or led projects in the past. We love seeing candidates who can inspire and guide a team!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at LendInvest
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with data engineering. Be ready to discuss specific projects where you built or maintained data pipelines, especially using Python and SQL. Highlight any challenges you faced and how you overcame them, as this will show your problem-solving skills.
✨Showcase Your Leadership Skills
Since this role involves leading a team, prepare examples of how you've mentored others or set engineering standards in previous positions. Think about times when you’ve successfully transitioned a project from external partners to an internal team, as this aligns perfectly with what they’re looking for.
✨Understand Their Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like AWS and CI/CD practices. If you have experience with cloud-based data platforms, be ready to discuss how you’ve used them to improve data integrity and reliability in your previous roles.
✨Align with Their Culture
LendInvest values a fun and innovative workplace culture. During the interview, share your thoughts on trying new things and how you’ve contributed to a positive team environment in the past. This will help demonstrate that you’re not just a technical fit but also a cultural one.