Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal Data Engineer

iwoca
City of London
5 days ago
Create job alert

Join to apply for the Principal Data Engineer role at iwoca.


The Company

Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics – they're the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we've revolutionised how these businesses access finance, turning what was once a lengthy, frustrating process into something remarkable: funding that's fast, flexible, and actually works for modern businesses. Our impact speaks for itself: we've provided billions in funding to over 150,000 businesses across Europe, making us one of the continent’s leading fintech innovators. But we’re just getting started. Our mission? To empower one million businesses with the financial tools they deserve.


The team

You’ll join the Core Systems team, who are responsible for driving innovation across the business by optimising development, building data systems, and continuously improving iwoca products. We follow Agile‑inspired processes, using continuous integration and delivery, so that features go live in days or weeks, not months or years.


The role

Hybrid in London / Remote within UK. As the Principal Data Engineer, you’ll be responsible for our data platform. You’ll define our data strategy, drive the evolution of our data infrastructure, and ensure our data systems enable impactful decision‑making across the business.


The Projects

  • Evolve Our Snowflake Data Warehouse: Take ownership of our Snowflake platform to ensure it is a highly efficient and accessible resource for the business. Implement best practices for performance optimisation, scalability, and cost management, empowering teams to access and utilise data seamlessly.
  • Streamline Data Pipelines: Lead the development and optimisation of data pipelines using dbt, enabling faster and more reliable data flows.
  • Enhance Data Governance and Quality: Design and implement robust data governance frameworks, ensuring high data quality, compliance, and consistency.
  • Develop Scalable Data Models: Collaborate with analysts and data scientists to design and maintain data models that enable more intuitive use for reporting, machine learning, and advanced analytics.
  • Research and Adopt Emerging Data Technologies: Stay ahead of industry trends by researching emerging tools and frameworks. Recommend and lead the adoption of innovations that enhance our data engineering capabilities, ensuring we remain competitive and forward‑thinking.

The Requirements
Essential

  • Expertise in Snowflake, including performance optimisation, cost management, and advanced data warehousing techniques.
  • Experience in designing and implementing scalable data architectures that meet the needs of complex, data‑driven organisations.
  • Strong SQL skills and a solid understanding of relational databases (e.g., PostgreSQL).

Bonus

  • Advanced LookML knowledge and experience building data visualisation tools.
  • Skilled in building and managing real‑time and batch data pipelines using Kafka and dbt.
  • Familiarity with Docker, Terraform, and Kubernetes for application orchestration and deployment.
  • A strong numerical or technical background, ideally with a degree in mathematics, physics, computer science, engineering, or a related field.
  • Understanding of data science concepts and experience collaborating with data scientists to productionise machine learning models.
  • Active participation in tech or open‑source communities, with a passion for sharing knowledge and inspiring others.
  • Strong communication skills, with the ability to translate complex business needs into effective technical solutions.

The salary

We expect to pay from £100,000 - £160,000 for this role. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews.


The culture

At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services.


The offices

  • Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks
  • Events and clubs, like bingo, comedy nights, yoga classes, football, etc.

The Benefits

  • Flexible working.
  • Medical insurance from Vitality, including discounted gym membership.
  • A private GP service (separate from Vitality) for you, your partner, and your dependents.
  • 25 days’ holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave.
  • A one‑month, fully paid sabbatical after four years.
  • Instant access to external counselling and therapy sessions for team members that need emotional or mental health support.
  • 3% pension contributions to total earnings.
  • An employee equity incentive scheme.
  • Generous parental leave and a nursery tax benefit scheme to help you save money.
  • Electric car scheme and cycle to work scheme.
  • Two company retreats a year, we’ve been to France, Italy, Spain, and further afield.

Learning and Development

  • A learning and development budget for everyone.
  • Company‑wide talks with internal and external speakers.
  • Access to learning platforms like Treehouse.

Compensation Range: £100K - £160K


#J-18808-Ljbffr

Related Jobs

View all jobs

Principal Data Engineer/Architect

Principal Data Engineer/Architect

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.