At a Glance
- Tasks: Build data pipelines, deploy jobs, and improve data quality at Freetrade.
- Company: Freetrade is revolutionising investing, making it accessible and affordable for everyone.
- Benefits: Enjoy a competitive salary, 25 days holiday, private health insurance, and flexible working.
- Why this job: Join a dynamic team focused on innovation and making a real impact in finance.
- Qualifications: Experience in Python, SQL, and cloud data applications is essential.
- Other info: We're an equal opportunity employer, welcoming diverse applicants.
The predicted salary is between 36000 - 60000 £ per year.
Freetrade’s mission is to become the default place to invest. Investing has been too complicated and expensive for too long, keeping millions from making the most of their savings. We’re changing that. We’re building our team and looking for people who are excited to reshape how our customers invest and grow their wealth. If you’re driven by solving complex problems and building innovative products, you’ll fit right in.
2025 is a big year for us. In January, we announced a game changing deal to become part of the IG Group. We’ll continue to operate as an independent business while gaining access to the resources and support of an established leader in the space. This year, we’re accelerating our roadmap and taking our products to the next level. We’re building new features like mutual funds, bonds, and family investment tools. We’re also exploring how we can leverage AI to deliver an even better experience for our customers.
Key Responsibilities
- Build the pipelines that put Freetrade’s data to work, deploying jobs into our Kubernetes cluster, writing Python code to orchestrate them in Dagster, and modelling the data in our BigQuery data warehouse.
- Evolve our testing, alerting and quality monitoring capabilities to continuously improve the trust of our data.
- Deploy data infrastructure through Terraform+Atlantis and write CICD pipelines.
- Improve the team’s operations, adding robustness and increasing efficiency.
- Build relationships with the Product and Engineering teams that produce our data and implement best practices for the data that we consume.
About You
- Written data pipelines from scratch in Python and SQL.
- Deployed your pipelines into production and owned the regular processing they perform, monitoring data quality and responding to issues.
- Experience writing clean, high-quality, testable code.
- Built and deployed data pipelines and/or data-centric applications in the cloud, preferably Google Cloud.
- Imported data from a wide variety of data sources including relational and NoSQL databases, APIs, cloud storage, etc.
- Knowledge of data protection, data security, and privacy best practices.
Benefits
Freetrade is the place to accelerate your career. Our benefits package and ways of working are designed to attract and retain the most talented people who are dedicated to making an impact at Freetrade. Here’s what’s on offer in 2025:
- Office first culture - we have beautiful office spaces in central London and Budapest where four days a week you collaborate with colleagues in person, one of our core behaviours is that we’re a team that works better together.
- Values - at Freetrade we live and breathe our values: Honesty, Focus and Grit. Expect to be asked about these in your interview!
- Competitive salary – carefully benchmarked.
- Holidays – 25 days plus UK public holidays. Your birthday off, plus one extra day for every year at Freetrade.
- Enhanced pension – We’ll match your contributions up to 5%.
- Group Life Insurance – Protect your loved ones with coverage at 5x your salary.
- Private Health Insurance – Access to high quality medical care, mental health support, dental and vision plans.
- Income Protection Cover – Comprehensive coverage ensuring financial stability in the event of illness or injury.
- Enhanced parental leave – Time off when it matters most.
- Flexibility – We’re office-first, but life happens. We focus on output and trust you to manage your time.
- Learning & Development – We fund industry qualifications so you can grow as a financial services professional.
- Cycle to Work scheme – Get a high quality bike and gear through our salary sacrifice scheme.
- Paid Sick Leave – Receive 10 days of fully paid sick leave each calendar year.
We are an Equal Opportunity employer committed to a diverse and representative team. Whatever your race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability - we want to hear from you.
To find out more about how we look after your personal data when you apply for a job with us, please see our Recruitment Privacy Policy.
Please note we are not accepting agency CVs.
Data Engineer employer: Molten Ventures plc
Contact Detail:
Molten Ventures plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with Freetrade's mission and values, especially 'Honesty', 'Focus', and 'Grit'. During your interview, be prepared to discuss how these values resonate with your own work ethic and experiences.
✨Tip Number 2
Showcase your experience with Python and SQL by preparing examples of data pipelines you've built. Be ready to explain the challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Tip Number 3
Highlight any experience you have with cloud platforms, particularly Google Cloud. If you've deployed data pipelines in production, make sure to discuss the monitoring and quality assurance processes you implemented.
✨Tip Number 4
Build connections with current employees or alumni who work at Freetrade. Engaging with them can provide insights into the company culture and the specific expectations for the Data Engineer role, which can be invaluable during your application process.
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 Python, SQL, and cloud technologies. Emphasise any projects where you've built data pipelines or worked with data quality monitoring.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for Freetrade's mission and how your skills align with their goals. Mention specific experiences that demonstrate your problem-solving abilities and your passion for innovative products.
Showcase Relevant Projects: If you have personal or professional projects that showcase your ability to build and deploy data pipelines, include them in your application. Provide links or descriptions that illustrate your technical skills and the impact of your work.
Prepare for Values-Based Questions: Freetrade values honesty, focus, and grit. Be ready to discuss how these values resonate with you and provide examples from your past experiences that demonstrate these qualities.
How to prepare for a job interview at Molten Ventures plc
✨Understand the Company Values
Freetrade places a strong emphasis on their core values: Honesty, Focus, and Grit. Be prepared to discuss how these values resonate with you and provide examples from your past experiences that demonstrate these traits.
✨Showcase Your Technical Skills
As a Data Engineer, you'll need to demonstrate your proficiency in Python, SQL, and cloud technologies, particularly Google Cloud. Be ready to discuss specific projects where you've built data pipelines or applications, and explain the challenges you faced and how you overcame them.
✨Prepare for Problem-Solving Questions
Expect to encounter questions that assess your problem-solving abilities. Think of complex issues you've resolved in previous roles, especially those related to data quality and pipeline deployment. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask thoughtful questions about the team dynamics, upcoming projects, or how Freetrade plans to leverage AI in their products. This shows your genuine interest in the role and the company’s future.