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Data Lead
Senior or Lead Data Engineer & Data Platform Lead
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.
Our workplace culture values innovation, efficiency, and teamwork, helping us lend over £9 billion in mortgages, support the UK housing market, and successfully launch on the London Stock Exchange. With ambitious plans to expand our business, products, technology, and people, we’re seeking a hands-on hands-on technical leader to stabilise and transform our data foundations while shaping our long-term data strategy.
About Your Work
Reporting to the Head of Engineering, this is a critical doer-leader position focused on:
- Remediating lifecycle ingestion issues while shaping the next generation of our data platform.
- Ideal for a current Senior or Lead Data Engineer ready to take on leadership or a Data Team Lead seeking a new challenge.
You’ll initially guide the team as a technical lead, then progress to full platform ownership, ensuring data integrity and driving confidence in data-driven decisions.
Key Responsibilities:
- Troubleshoot legacy data issues by collaborating with external delivery specialists to resolve inherited ingestion failures and hidden data mutations.
- Oversee a complex data ecosystem, addressing outdated ingestion patterns and incrementally improving scalability, maintainability, and architectural quality.
- Automate manual data reconciliations and implement observability, testing, and validation frameworks to detect silent data issues, enforce integrity, and boost pipeline reliability.
- Transition from partner-led delivery to a self-sufficient internal ‘run’ model, ensuring a smooth knowledge transfer, documentation, and team integration.
- Build and scale an internal data engineering function (initial hires: 1–2 engineers), reducing dependency on external partners.
- Establish engineering best practices, challenge historical processes, and upskill Data Analysts to work on a governed, high-trust data foundation.
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About You
We’re looking for a Senior or Lead Data Engineer with:
Core Expertise:
- Proficiency in Python (or similar) and advanced SQL, with hands-on experience in building, maintaining, and optimising data pipelines.
- Expertise in designing and operating cloud-based data platforms (e.g. AWS + modern warehouses), covering orchestration (e.g. Airflow, Dagster), storage (S3, Delta Lake), and compute.
- Strong foundation in data validation, lineage management, and data quality frameworks to ensure trust.
Leadership & Remediation Focus:
- Standards setting, mentorship, and scaling internal data engineering—leading by example.
- Experience in CI/CD, infrastructure as code (IaC), and version control to guarantee reliability and maintainability.
- Comfortable with inherited systems, diagnosing root causes of instability, and making incremental but meaningful improvements.
- Collaborative stance with analysts, product, and engineering teams to align data solutions with business goals.
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Benefits & Perks
We want everyone to thrive, so we offer:
- ✅ Competitive salary + company bonus scheme
- 🏠 Hybrid working policy
- 🏖️ 25 days holiday (incremental with service)
- 🏥 Private healthcare
- 🍼 Enhanced parental leave
- 💸 Pension contributions matched up to 4%
- 🏥 Critical illness cover
- 🧠 Employee Assistance Programme & Mental Health Support
- 🛟 Life assurance
- 📈 Frequent performance reviews & career growth
- 🏆 Leadership training for aspiring managers
- 🤝 Give as you earn scheme
- 🎓 Conference funding & professional development
- 🤑 Discounts via Perkbox
- 🚲 Cycle-to-work scheme
- 🚂 Season ticket loan
- 🔌 Electric car loan scheme
- 🥳 Monthly socials & annual offsite
Diversity, Inclusion & Belonging
At LendInvest, we value authenticity and difference and are committed to a ** lavorare culture** where everyone can thrive. As an equal opportunities employer, we prioritise diversity of background, perspective, and skill. Accommodations are available throughout the recruitment process to ensure accessibility for all candidates.
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