Data Engineer at Ferovinum

May 19 2025

Salary: £80,000 - £100,000

Work Location:Ferovinum

22 Ganton Street

London, W1F 7QY

United Kingdom

Company Information:

We’re revolutionising the supply chain and financial foundations of the $800bn global drinks industry by building a platform that will change the way that commerce is executed forever!

Employment Type:  Full-time ( Site )

Visa Sponsor:  Yes

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Job Description

Data Engineer at Ferovinum

 

Salary range From: £80000 - £100000

Work from: 22 Ganton Street, London, W1F 7QY, United Kingdom

 

Recruiters can propose candidates by using this link: https://onlycoders.net/recruiter/jobs/9ee6fc0f-b3fe-4fda-8de1-ef2eafe4326a/propose-candidate 

(Please note that only registered and approved recruiters will be able to propose candidates.)

 

The Role

Our platform is experiencing explosive growth and requires ongoing architecture upgrades to handle the ever increasing complexity, all while delivering new features at a rapid pace. We’re looking for a Data Engineer who will be responsible for refining our data strategy and process requirements ensuring we stay on track with our company OKRs and Goals. You’ll be working alongside our CPO and CTO to drive our data infrastructure and build the foundations for best practice. We’re looking for someone who can be hands on and code but also want to drive great data architecture.
 

Key Responsibilities

  • Play a pivotal role in the evolution of our system architecture as it matures from MVP to a scaling platform; work alongside our CTO and CPO to make our data platform more capable, flexible and scalable
  • Collaborate closely cross-functional teams including product, finance, operations, and customer-success to ensure secure and efficient data operations that support business growth and strategic objectives
  • Writing code - lots of it! We use Python, Java, TypeScript, Spark, and SQL, welcoming engineers from diverse programming backgrounds who are passionate about building robust data solutions
  • Design, architect, and implement scalable, maintainable data pipelines and streaming solutions that drive our business, empower clients, and support data science initiatives
  • Own the end-to-end design and implementation of data solutions, including data modelling, pipeline development, transformation processes, and visualisation
  • Be closely involved in hiring and mentoring, help foster a collaborative, ambitious and outcome oriented culture

 

Key Requirements

 

  • Bachelor's Degree (or above) in Computer Science/Maths/Physics or similar discipline
  • Highly experience in data engineering within the finance sector, complemented by a background in growth-focused teams, is a plus.
  • Proficient with one or more programming languages (Python is strongly preferred with other languages including Java, Scala, TypeScript, C++, C#)
  • Experience using big data technologies in cloud environments to build data pipelines (e.g. Spark, EMR, Lambda etc.)
  • Excellent communication, organisation and prioritisation skills, and have a strong ability to deliver results within tight timelines
  • Passionate to work with small & medium sized enterprises (SMEs) - these are our clients!
  • Prior experience worked in top tier financial companies in analytical & data roles is a bonus

 

Our Tech Stack

We’re very tech agnostic when it comes to the engineers we bring on board to the team. For us it’s all about having strong foundations and the ability to produce great code so don’t be deterred if you don’t have experience in the following:

  • TypeScript: React.js (FE) / Node.js (BE) 
  • Javascript 
  • Python
  • AWS Cloud Infrastructure 
  • Modulised Monolith

 

Ferovinum provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

 

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