At a Glance
- Tasks: Build and develop our Databricks platform, processing diverse data for impactful projects.
- Company: Join Freemarket, a pioneering payments network transforming cross-border transactions.
- Benefits: Enjoy hybrid working, competitive salary, private healthcare, and generous leave.
- Other info: Collaborative team culture focused on innovation and shared success.
- Why this job: Make a real impact in a fast-paced, AI-driven environment with growth opportunities.
- Qualifications: Experience in data engineering, Databricks, and coding skills in Python and SQL.
The predicted salary is between 46348 - 65000 £ per year.
About Freemarket
Freemarket is the next-generation payments network for fast, compliant, borderless payments for businesses. We started our company in 2010 to challenge the methodology of the FX market. We thought the sector had been poorly served – both in terms of efficiency and price – and we wanted to bring transparency and value to customers. That philosophy remains today. Now we are a trusted payment network for cross‑border settlement. We connect businesses with vital payment and banking services. Customers control the speed, routing, timing, price and settlement in our portal, giving them control, choice and confidence over all their payments. Through our rail‑agnostic network, customers can access 140 currencies, USDT Stablecoin, short‑term lending and a range of other services designed to make payment faster, cheaper and more transparent.
We have strong financial backing, a well‑connected Board behind us, real experience in our management group and a brilliant team. That team is a powerful network of people, driven by a common goal to enable growth for our clients.
Our Collective Success Is Powered By Shared Values
- We Own It – high empowerment for our people and high accountability for results.
- Relationship‑Led – trust and depth in the relationships across our team and with our clients and partners.
- We Make‑it‑Happen – a strong executional focus.
- We Stay Curious – we are all on a learning journey, individually and together.
- We Think Bigger – we welcome challenges to our thinking.
Working at Freemarket
Data at Freemarket is a high‑performance, high‑quality, fast‑paced environment. We have direct commercial impact, direct integration with business strategy, and a pro‑AI culture. The roadmap is established and the opportunity to build something great is there. Deadlines can be tight and the goals the business sets are exciting and challenging in equal measure.
What Good Looks Like In This Role
- Self‑starter who thinks ahead: Comfortable dealing with ambiguity and turning a concept or idea into something tangible, anticipating the steps ahead and driving work forward independently.
- Driven and Team player: Wants to deliver great work and sees the wider impact of it.
- Thrives under variety and pace: Comfortable with a broad range of work and tight deadlines, while keeping quality high.
- Team‑first: Joins a high‑performing data team of talented, collaborative thinkers who look after one another.
About The Role
We are seeking a Senior Data Engineer to continue building and developing our newly launched Databricks platform. There is an existing roadmap for projects with direct commercial impact and AI integration for speed to revenue. Experience working in the Payments space is a big plus!
Key Responsibilities
- ETL Development: Design and build robust and reusable ETL/ELT pipelines through the Medallion architecture in Databricks.
- Pipeline Orchestration: Develop and manage workflow orchestration within Databricks.
- Error Handling: Design and implement effective logging, monitoring, and alerting strategies for robust error management and recovery.
- Scalability & Futureproofing: Contribute to architectural discussions and decisions, ensuring scalability, data quality, and future‑proof data systems.
- Collaboration: Work closely with Data Analysts, Data Scientists, Finance, Marketing, and the BI team.
- Documentation & Planning: Maintain comprehensive documentation covering data models, architecture decisions, transformation logic, and operational procedures.
- Data Governance & Security: Ensure compliance with data security policies, data retention rules, and privacy regulations.
- Custom Dashboards: Experience spinning up HTML / Python / Java dashboards on Databricks Apps or alternative service.
Required Skills And Experience
- Significant demonstrable experience in data engineering or similar roles.
- Strong hands‑on experience with Databricks on Azure.
- Coding/Developing: Python, PySpark, SQL, Claude Code.
- CI/CD: Terraform, GitHub, Octopus Deploy.
- Good to have: HTML, Java.
What You Get From Working At Freemarket
- Room to grow into ownership.
- A futureproof tech stack.
- A strong team of thinkers.
- Real commercial impact.
- A voice that’s heard.
- A platform to build on.
Benefits
- Hybrid working – an average of 2 days per week in our office near London Bridge.
- Participation in the discretionary company bonus scheme.
- 25 days annual leave plus bank holidays.
- Enhanced pension contribution with Aviva.
- Private healthcare and wellbeing support.
- Access to rewards, discounts and financial coaching platforms.
Our Commitment to Inclusion
We’re committed to building a diverse and inclusive workplace. We welcome applications from all backgrounds and experiences and believe that diversity of thought makes better products and better teams.
Senior Data Engineer employer: Freemarket
Freemarket is an exceptional employer that fosters a high-performance, collaborative work culture where innovation and personal growth are at the forefront. With a commitment to empowering employees, offering hybrid working options, and providing opportunities for ownership in projects, Freemarket ensures that every team member can make a meaningful impact while enjoying a supportive environment. The company’s focus on AI integration and cutting-edge technology, combined with strong benefits like private healthcare and enhanced pension contributions, makes it an attractive place for talented individuals looking to thrive in the fast-paced payments industry near London Bridge.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Freemarket.
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We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Freemarket, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Freemarket. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Freemarket
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Freemarket!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
