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- Tasks: Join us as a Data Engineer to refine our data strategy and build scalable solutions.
- Company: Ferovinum is revolutionising the drinks industry with innovative supply chain solutions.
- Benefits: Enjoy a dynamic work environment, competitive salary, and opportunities for growth.
- Why this job: Be part of a fast-growing startup aiming for unicorn status and make a real impact.
- Qualifications: Bachelor's degree in a relevant field and 6+ years of data engineering experience required.
- Other info: We value diversity and welcome applicants from all backgrounds.
The predicted salary is between 43200 - 72000 £ per year.
About Ferovinum: 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! We’ve just secured our Series A funding and are proud to be part of Notion Capital's portfolio. We’ve already influenced immense change in the UK markets and have personally already seen tremendous growth, with over £170 million of product transacted through the platform and increased annual sales by 1,000% since early 2023. To date we’re proud to say that we’ve deployed over £114m of funding in support of UK wine and spirits producers. As we look to expand our offering globally we’re looking for ambitious builders that want to change an industry and be part of the journey with us. We’re first to market and intend to stay ahead of the game! In short, it’s the perfect time to join as we aim for unicorn and beyond.
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 with 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.
- 6+ years of relevant, broad data engineering/finance experience - prior experience working as part of a growth-focused team 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). Java. GoLang. 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.
Data Engineer employer: Ferovinum Limited
Contact Detail:
Ferovinum Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Spark, and SQL. Being able to discuss your experience with these tools in detail will show that you're not just a good fit but also genuinely interested in the role.
✨Tip Number 2
Highlight any previous experience you have working in fast-paced, growth-focused environments. Ferovinum is looking for someone who can adapt quickly and contribute to their rapid expansion, so sharing relevant examples will make you stand out.
✨Tip Number 3
Prepare to discuss how you've collaborated with cross-functional teams in the past. Since the role involves working closely with product, finance, and operations, demonstrating your ability to communicate and work well with diverse groups will be crucial.
✨Tip Number 4
Show your passion for the drinks industry and small to medium-sized enterprises (SMEs). Researching Ferovinum's impact on the UK market and being able to articulate why you want to be part of this journey will resonate well with the hiring team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with the technologies mentioned in the job description such as Python, Java, and Spark. Emphasise any previous roles where you contributed to system architecture or worked in a growth-focused team.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the drinks industry and how your skills can contribute to Ferovinum's mission. Mention specific projects or achievements that demonstrate your ability to design scalable data solutions and collaborate with cross-functional teams.
Showcase Your Technical Skills: Include a section in your application that outlines your technical skills and experience with big data technologies and cloud environments. Be specific about the tools you've used and the impact of your work on previous projects.
Highlight Soft Skills: Ferovinum values excellent communication and organisational skills. In your application, provide examples of how you've successfully delivered results under tight timelines and fostered a collaborative culture in past roles.
How to prepare for a job interview at Ferovinum Limited
✨Understand the Company and Its Vision
Before your interview, take some time to research Ferovinum and its mission to revolutionise the drinks industry. Familiarise yourself with their recent achievements, such as securing Series A funding and their impressive growth metrics. This will help you align your answers with their goals and demonstrate your genuine interest in being part of their journey.
✨Showcase Your Technical Skills
As a Data Engineer, you'll need to be hands-on with coding and data architecture. Be prepared to discuss your experience with programming languages like Python, Java, and SQL. Consider bringing examples of past projects where you've designed scalable data pipelines or worked with big data technologies, as this will highlight your technical expertise.
✨Emphasise Collaboration and Communication
Ferovinum values teamwork and collaboration across various departments. Be ready to share examples of how you've successfully worked with cross-functional teams in the past. Highlight your communication skills and how you've contributed to achieving shared objectives, as this will show that you're a good fit for their culture.
✨Prepare Questions About Growth and Challenges
During the interview, ask insightful questions about the company's future plans and the challenges they face as they scale. This not only shows your interest in the role but also your strategic thinking. Inquire about their data strategy and how you can contribute to overcoming obstacles, which will demonstrate your proactive mindset.
