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- Tasks: Design and build data pipelines, transforming high-volume data into trusted insights.
- Company: Fast-growing fintech company on a mission to simplify investing.
- Benefits: Competitive salary, 25 days leave, private health insurance, and learning budget.
- Other info: Hybrid working model with a supportive culture for all employees.
- Why this job: Join a pivotal time in fintech, shaping the future of investment platforms.
- Qualifications: Experience in data pipelines, strong Python and SQL skills, cloud deployment knowledge.
The predicted salary is between 60000 - 75000 £ per year.
A fast-growing fintech company is hiring a Data Engineer to support the next phase of its product and data infrastructure evolution. The company is on a mission to make investing simple, accessible, and cost-effective - removing long-standing barriers and enabling millions of individuals to grow their wealth with confidence.
The Data Engineer will join a growing data team focused on transforming high-volume data into trusted insights, tooling, and infrastructure. This role involves hands-on pipeline development, cloud deployment, and collaboration across product and engineering. You'll work in a modern data stack, help scale internal analytics capabilities, and shape the data foundations of a next-gen investment platform.
KEY RESPONSIBILITIES- Design, build, and deploy data pipelines using Python and SQL
- Orchestrate pipelines in Dagster and deploy jobs into a Kubernetes cluster
- Model clean, reliable datasets within BigQuery
- Improve data quality and monitoring through alerting and automated testing
- Deploy data infrastructure via Terraform and maintain CICD pipelines
- Enhance operational efficiency and reliability of the data platform
- Collaborate with product and engineering stakeholders to define best practices and deliver data-driven solutions
- Proven experience writing and maintaining data pipelines in production
- Strong coding skills in Python and SQL, with attention to testing and maintainability
- Experience deploying data-centric applications in cloud environments (Google Cloud preferred)
- Familiarity with a range of data sources including relational DBs, NoSQL, APIs, and cloud storage
- Understanding of data security, privacy, and protection principles
- Comfortable owning regular processing jobs and responding to data issues
Hybrid model: 3 days in the London office (Monday, Tuesday, Thursday), 2 days remote. Designed for deep in-person collaboration with flexibility for personal circumstances. Supportive of parents and those with caregiving responsibilities.
BENEFITS & CULTURE- Competitive salary with structured benchmarking
- 25 days annual leave plus UK public holidays, birthday off, and tenure-based bonus days
- Enhanced pension with up to 5% company match
- Private health insurance including mental health, dental, and vision care
- Group life insurance at 5x salary and income protection cover
- Enhanced parental leave for all caregiver types
- Learning & development budget including sponsorship for industry qualifications
- Cycle-to-work scheme with tax savings
- Paid sick leave (10 days annually)
- Values-led culture built on honesty, focus, and grit—expect these to guide your interview process
If you’re a data engineer looking to build at scale, collaborate with smart cross-functional teams, and shape data infrastructure at a growing fintech, this opportunity offers both impact and career growth.
Data Engineer in London employer: ParleyX
Contact Detail:
ParleyX Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Prepare for those technical interviews! Brush up on your Python and SQL skills, and be ready to discuss your past projects. We want to see how you’ve tackled real-world data challenges, so have some examples up your sleeve.
✨Tip Number 3
Show your passion for data! During interviews, share why you love working with data and how you stay updated with the latest trends. We’re looking for someone who’s genuinely excited about transforming data into insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your experience with Python, SQL, and cloud environments like Google Cloud to show us you're the right fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our mission. Share specific examples of your past work that align with the responsibilities listed in the job description.
Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to mention them! We love seeing practical applications of your skills, especially in building data pipelines and deploying applications.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at ParleyX
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with data pipelines and how you've used tools like Dagster and Kubernetes in past projects. This will show that you're not just familiar with the tech, but that you can apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data quality issues or improved operational efficiency in previous roles. The company values data-driven solutions, so demonstrating your analytical thinking and ability to collaborate with cross-functional teams will set you apart.
✨Understand the Company’s Mission
Familiarise yourself with the company's mission to make investing accessible and cost-effective. Think about how your role as a Data Engineer can contribute to this goal. Showing that you align with their values will resonate well during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the data stack they use, and how they measure success in data projects. This not only shows your interest in the role but also helps you gauge if the company culture is the right fit for you.