At a Glance
- Tasks: Lead data engineering projects and optimise our data systems for impactful decision-making.
- Company: Join iwoca, a fintech innovator empowering small businesses with fast, flexible funding solutions.
- Benefits: Enjoy flexible working, medical insurance, generous holiday, and a learning budget.
- Why this job: Be part of a culture that values growth, innovation, and community impact.
- Qualifications: Expertise in Snowflake, strong SQL skills, and a background in data architecture required.
- Other info: Participate in fun events and company retreats while making a real difference.
The predicted salary is between 86000 - 136000 £ per year.
Principal Data Engineer – Core Systems Team
Hybrid in London / Remote within UK
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.
We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it\’s managing cash flow or seizing unexpected opportunities, we ensure businesses get the funds they need – often within minutes.
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
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
You’ll identify and lead a range of strategic data engineering projects, driving improvements across our data systems, platforms, and infrastructure to support innovation, efficiency, and growth, such as:
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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.
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Streamline Data Pipelines: Lead the development and optimisation of data pipelines using DBT , enabling faster and more reliable data flows.
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Enhance Data Governance and Quality: Design and implement robust data governance frameworks, ensuring high data quality, compliance, and consistency.
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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.
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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:
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Expertise in Snowflake, including performance optimisation, cost management, and advanced data warehousing techniques.
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Experience in designing and implementing scalable data architectures that meet the needs of complex, data-driven organisations.
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Strong SQL skills and a solid understanding of relational databases (e.g., PostgreSQL).
Bonus:
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Advanced LookML knowledge and experience building data visualisation tools.
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Skilled in building and managing real-time and batch data pipelines using Kafka and DBT.
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Familiarity with Docker, Terraform, and Kubernetes for application orchestration and deployment.
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A strong numerical or technical background, ideally with a degree in mathematics, physics, computer science, engineering, or a related field.
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Understanding of data science concepts and experience collaborating with data scientists to productionise machine learning models.
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Active participation in tech or open-source communities, with a passion for sharing knowledge and inspiring others.
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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. But, we’re open-minded, so definitely include your salary goals with your application. 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
We put a lot of effort into making iwoca a great place to work:
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Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks
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Events and clubs, like bingo, comedy nights, yoga classes, football, etc.
The benefits
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Flexible working.
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Medical insurance from Vitality, including discounted gym membership.
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A private GP service (separate from Vitality) for you, your partner, and your dependents.
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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.
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A one-month, fully paid sabbatical after four years.
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Instant access to external counselling and therapy sessions for team members that need emotional or mental health support.
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3% pension contributions to total earnings.
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An employee equity incentive scheme.
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Generous parental leave and a nursery tax benefit scheme to help you save money.
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Electric car scheme and cycle to work scheme.
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Two company retreats a year, we’ve been to France, Italy, Spain, and further afield.
And to make sure we all keep learning, we offer:
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A learning and development budget for everyone.
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Company-wide talks with internal and external speakers.
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Access to learning platforms like Treehouse.
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Principal Data Engineer employer: Iwoca Ltd
Contact Detail:
Iwoca Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Engineer
✨Tip Number 1
Familiarise yourself with Snowflake and its best practices. Since this role heavily involves optimising the Snowflake platform, understanding its performance optimisation and cost management features will give you a significant edge during discussions.
✨Tip Number 2
Engage with the data engineering community. Participate in forums or local meetups focused on data technologies like DBT and Kafka. This not only helps you stay updated on industry trends but also allows you to network with professionals who might provide insights or referrals.
✨Tip Number 3
Showcase your experience with scalable data architectures. Be prepared to discuss specific projects where you've designed or implemented data systems that improved efficiency or decision-making, as this is crucial for the Principal Data Engineer role.
✨Tip Number 4
Brush up on your SQL skills and be ready to demonstrate your knowledge of relational databases. Given the emphasis on strong SQL capabilities in the job description, being able to solve complex queries on the spot could impress the hiring team.
We think you need these skills to ace Principal Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in Snowflake and data engineering. Focus on relevant projects and experiences that demonstrate your ability to design scalable data architectures and optimise performance.
Craft a Compelling Cover Letter: In your cover letter, express your passion for empowering small businesses through innovative data solutions. Mention specific projects or technologies you’ve worked with that align with iwoca's mission and the role's requirements.
Showcase Your Technical Skills: Clearly outline your technical skills related to SQL, DBT, and any experience with Docker or Kubernetes. Provide examples of how you've used these skills in previous roles to drive improvements in data systems.
Include Salary Expectations: Since iwoca is open-minded about salary, be sure to include your salary goals in your application. This shows transparency and helps set the stage for future discussions.
How to prepare for a job interview at Iwoca Ltd
✨Showcase Your Snowflake Expertise
Since the role requires expertise in Snowflake, be prepared to discuss your experience with performance optimisation and cost management. Bring specific examples of how you've improved data warehousing techniques in previous roles.
✨Demonstrate Your Data Architecture Skills
Highlight your experience in designing scalable data architectures. Be ready to explain how your designs have met the needs of complex, data-driven organisations, and share any challenges you faced and how you overcame them.
✨Communicate Complex Ideas Simply
Strong communication skills are essential for this role. Practice explaining technical concepts in a way that non-technical stakeholders can understand. This will show your ability to translate business needs into effective technical solutions.
✨Stay Ahead of Industry Trends
Research emerging data technologies and be prepared to discuss how they could benefit iwoca. Showing that you're proactive about staying current in the field will demonstrate your commitment to innovation and growth.