Data Engineer

AnaVation LLC; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A fast-growing fintech company in London is looking for a Data Engineer to build and maintain a market intelligence platform for independent car dealers. You will develop automated data collection systems, ETL pipelines, and ensure data reliability. Ideal candidates should have strong experience in Python and web data extraction tools. The position offers competitive salary, flexible benefits, and an inspiring mission to revolutionize the SME economy across Europe.

Benefits

Competitive salary and equity

Diverse and inclusive team

Health and well-being benefits

Flexible benefits

Personal time off

Hybrid working flexibility

Qualifications

• Strong experience in building data systems.
• Expert in web data extraction tools.
• Understanding of data quality assurance.
• Familiarity with real-time data monitoring.
• Ability to work collaboratively with various teams.

Responsibilities

• Build and maintain automated data collection systems.
• Create data normalization layers for clean datasets.
• Develop ETL pipelines for actionable insights.
• Ensure data reliability with monitoring systems.
• Design scalable infrastructure for business growth.

Skills

Data acquisition systems in Python

Web data extraction tools (Scrapy, Playwright, Selenium)

HTML/CSS/JS parsing

SQL

ETL design

Cloud orchestration

Problem-solving

Collaborative approach

Job description

Job Title: Data Engineer

Type: Full-time

Location: London

What about us?

Launched in 2023, INFINIT is a fast-growing fintech scale-up operating in multiple countries across Europe and Americas.

At INFINIT we are on a mission to reshape the future of SMEs with AI at the forefront. Our all-in-one operating system has banking at its core, and empowers small business owners and their teams to seamlessly manage and optimize every aspect of their business with AI agents.

By focussing on specific industries, INFINIT delivers tailored, high-value solutions, while building innovative AI products to further unlock significant growth opportunities for our customers. INFINIT operates globally, with ambitions to further expand its footprint to redefine the fintech landscape for SMEs worldwide.

Join us on the INFINIT journey as we revolutionise the SME economy and drive meaningful impact through innovation 🚀

The Role

As Data Engineer at INFINIT, you'll build and maintain the market intelligence platform that fuels the solution we're building for independent car dealers across Europe. Our DMS (Dealer Management System) combines AI-powered inventory management, lead qualification, customer checkout, and integrated financing — all powered by comprehensive market data that helps dealers price competitively, identify sourcing opportunities, and understand their local markets.

The same market intelligence also plays a key role for our Sales team, enabling them to segment prospects, prioritize high-potential leads, and tailor their outreach based on real-time market dynamics.

What do you need to be successful in this role?

• Automated data collection systems that aggregate automotive market data across major European markets.
• Data normalization layers that turn fragmented market information into clean, unified datasets
• ETL pipelines that transform raw market signals into pricing intelligence and structured, actionable insights
• APIs and data distribution mechanisms to expose insights to various teams across the organization (integrations with Hubspot, INFINIT Platform, AI Agents, flat exports, internal dashboards…)
• Real-time monitoring and quality assurance systems to ensure data reliability
• Scalable infrastructure designed to grow 10x as we expand across Europe and beyond

What do you need to be successful in this role?

• Strong experience building production‑grade data acquisition systems in Python
• Expertise with modern web data extraction tools (Scrapy, Playwright, Selenium) and proxy management
• Deep understanding of HTML/CSS/JS parsing and handling dynamic web content
• Solid data engineering foundations: SQL, ETL design, cloud orchestration Track record of normalizing messy, real-world data (incomplete records, conflicting sources, inconsistent formats)
• Curious and experimental mindset—you're not just moving data around, you're discovering what insights actually drive decisions
• Pragmatic problem‑solver who thrives on building systems that "just work"
• Collaborative approach as you'll work closely with product, sales, and operations teams to understand their needs and iterate on solutions

What will you find working at INFINIT?

• Competitive Salary and Equity: We offer highly competitive salaries and a stake in our success with share options because we're building this together.
• Diverse and Inclusive Team: Join a dynamic and international team in excess of 8 nationalities. You'll have the chance to work with experienced professionals from around the world, fostering a rich learning environment.
• Inspiring Mission: We are dedicated to revolutionizing business financing and making a positive impact on the European economy. Your work at INFINIT will have a lasting effect on businesses and communities.
• Flexible Benefits: Access Flexible Retribution benefits through a convenient mobile app
• Health and Well‑being: Your health matters to us. You will have access to top-quality Medical & Mental Health Insurance.
• Quality Time Together: We foster a sense of community with annual gatherings and bi-weekly office team gatherings. You're more than welcome to join us for quality time.
• Personal Time Off: Enjoy flexibility with your personal time off.
• Flexibility and Ownership: We trust our team and we are goal‑oriented. Enjoy the flexibility of hybrid working 3 days a week in our Madrid office and 2 days at home.

Diversity and Inclusion

INFINIT promotes an inclusive culture that seeks equity and values different perspectives. We are proud to be an equal opportunity employer and consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic.