Software Engineer, Data Products

Software Engineer, Data Products

Full-Time 30000 - 50000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and implement next-gen data platforms and high-performance data pipelines.
  • Company: Join Yapily, a pioneering tech company redefining open banking.
  • Benefits: Competitive salary, equity, generous time off, and hybrid working options.
  • Other info: Enjoy a vibrant culture with monthly socials, snacks, and a dog-friendly office.
  • Why this job: Be part of an innovative team shaping the future of financial technology.
  • Qualifications: 3-5 years Java experience, database management skills, and a passion for problem-solving.

The predicted salary is between 30000 - 50000 £ per year.

Join to apply for the Software Engineer, Data Products role at Yapily.

Our Mission: Redefining how the world interacts with value.

Our Vision: A world without financial friction.

Our Purpose: To empower everyone to access and move value.

At Yapily, we’re building a powerful, scalable, and secure open banking infrastructure that redefines how the world interacts with value. Our open banking platform powers leading companies, such as Adyen, Intuit QuickBooks, and Google. By delivering payment initiation, bank data access, and pre‑built products, we enable businesses to innovate fast and push the boundaries of financial technology. As an early pioneer of open banking, we’re actively shaping the future of this industry with unrivalled expertise and a relentless focus on innovation.

What we’re looking for

As a Java Software Engineer specializing in Data Products at Yapily, you will play a key role in designing and implementing our modern next‑generation data platform. Your responsibilities will involve creating high‑performance data pipelines, billing infrastructure, and self‑serve data infrastructure and APIs. Ultimately, you will develop data systems that enable engineering teams to derive more value from their data. This is an excellent opportunity to enhance your data engineering skills using the GCP stack.

Responsibilities and Requirements

  • Developing and Optimising Data Pipelines: Designing, building, and maintaining scalable data ingestion and processing systems to transform raw data into actionable insights.
  • Designing and Maintaining Data Products: Developing and maintaining APIs that deliver a seamless data experience for internal and external stakeholders.
  • Managing Databases: Working with SQL and NoSQL databases, optimising schema design, and troubleshooting queries to support high‑volume data transactions and improve database performance.
  • Managing Cloud Data Resources: Develop and maintain software products utilising GCP services such as PubSub, BigQuery, Cloud Storage, and Dataflow.
  • Contributing to Billing Infrastructure: Building and maintaining a reliable billing architecture within an event‑driven environment.
  • Collaborating on Problem‑Solving: Partnering with Business Intelligence, infrastructure, product managers, and cross‑functional teams to deliver data‑centric solutions that drive business value.
  • Ensuring Quality Assurance: Implementing testing, monitoring, and logging practices to ensure the performance and resilience of data systems.
  • Driving Continuous Improvement: Participating in code reviews, iterative development, and agile methodologies to enhance product functionality and reliability.

Java Development: 3–5 years of hands‑on experience in Java development, particularly in data‑intensive environments and building data products.

Database Management: Background in managing both SQL and NoSQL databases.

Version Control & CI/CD: Knowledge of version control (Git) and CI/CD practices for data pipeline deployment and exposure to tools such as Terraform.

Data Modelling & Schema Design: Familiarity with data modelling and schema design for operational or analytical systems.

API & Micro services Architecture: Comfortable working with REST APIs and micro services architectures.

Real‑time Stream Processing: Understanding of real‑time stream processing frameworks (e.g., PubSub, Kafka, Flink, Spark Streaming).

BI Tools & Visualisation Platforms: Experience supporting BI tools or visualization platforms (e.g. Looker, Grafana, PowerBI etc.).

Data Pipelines & APIs: Experience in building and maintaining both batch and streaming data pipelines and APIs.

ETL/ELT Processes: Exposure to ETL/ELT processes in medium‑to‑large scale data environments (experience handling millions of records/events daily is a plus).

Preferred Skills

  • Python: Knowledge for data automation and scripting.
  • Containerization: Familiarity with tools like Docker and Kubernetes.
  • Workflow/Orchestration Tools: Familiarity with workflow/orchestration tools (e.g., Airflow, Dagster, Prefect).
  • Cloud-based Data Services: Exposure to cloud‑based data services (GCP preferred; AWS/Azure also considered).
  • Data Lineage & Metadata Management: Understanding of best practices.
  • Data Governance & Compliance: Awareness of data governance and compliance principles (GDPR, ISO27001).
  • SaaS / API‑driven Environments: Background in SaaS / API‑driven environments, ideally with experience in billing or usage‑based data.
  • Data Pipeline Monitoring & Troubleshooting: Basic skills in monitoring and troubleshooting data pipelines.
  • Data Security: Understanding of data security best practices and encryption for sensitive data.
  • Data Quality: Experience ensuring data quality through validation, cleaning, and monitoring.

For your new role

You love innovation – it’s wired into your DNA. You have exceptionally high integrity. You’ll treat all interactions with the confidentiality, sensitivity and diplomacy they deserve. You think outside of the box and are pragmatic. You will bring in and iterate on the experience, skills and knowledge of best practice that you have seen elsewhere. You are always looking for better and cost‑effective ways to do things. You are driven and curious. You ask questions and you strive to understand. You enjoy solving problems. You don’t get flustered easily. You’re comfortable managing your time and can be counted on to skilfully handle issues. You understand the importance of attention to detail and ensuring quality outputs. Everything you produce is of high quality. You have a can‑do approach. You think on your feet. Switching up tasks and juggling multiple priorities comes naturally to you.

Competitive Pay & Equity – We offer a great base salary plus equity, so you’ll own a part of what we’re building together.

Generous Time Off – Enjoy 25 days of holiday each year (plus bank holidays if you’re in the UK), and earn an extra day each year after your first, up to 5 more!

Hybrid Working – Life’s about balance. We request that you work from the office, up to two days per week.

Nomad Working – Feel like a change of scenery? Work from anywhere in for up to 30 days each year.

Family First – We offer enhanced Maternity and Paternity leave because your family matters.

Private Medical Insurance – You’ll get cover through BUPA, because your health is a priority.

Mental Health Support – Access personalised mental wellness support through our award‑winning partner.

Future‑Ready Perks – Including a solid company pension, life assurance and income protection.

Learn & Grow – A £200 annual budget for learning and personal development. Invest in you!

Cycle to Work Scheme – Commute the healthy way with support from our cycle to work programme.

Perks Hub Access – Enjoy exclusive discounts and offers through the Yapily Benefits Hub.

Refer a Friend – Bring someone great onboard and earn £1,000 with our referral scheme.

Team Vibes – Monthly socials, team lunches, and a budget to hang out and have fun (yes, pizza included 🍕).

Office Snacks & Doggies – Daily snacks to keep you going, and yes – we’re proudly a dog‑friendly office 🐾.

OUR VALUES

Our customers have entrusted us with a critical function in a regulated industry…and we take that responsibility seriously. We always assume ownership and hold ourselves accountable. We are curious. Our innovation is powered by our collective growth mindset. We’re lifelong learners who challenge assumptions, experiment, and iterate. We act with integrity. We’re guided by our mission and earn and maintain trust by doing what’s right, even when it’s not easy. We reject indifference and agility is our strength. We’re motivated by challenges, and biased towards action. We problem‑solve together. We’re diverse people in diverse places, and know the best solutions are born out of collaboration. We win, lose, and learn…together.

Software Engineer, Data Products employer: Yapily

At Yapily, we pride ourselves on being an innovative and forward-thinking employer that champions a culture of curiosity and collaboration. Our commitment to employee growth is evident through our generous benefits, including a comprehensive learning budget and flexible working arrangements that promote work-life balance. With a focus on redefining financial services, we offer a dynamic environment where you can thrive and make a meaningful impact in the fintech landscape.

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Contact Details:

Yapily Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer, Data Products

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Yapily or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Yapily.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Yapily.

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Yapily that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Software Engineer, Data Products

Java Development
Data Pipeline Development
API Development
SQL Database Management
NoSQL Database Management
GCP Services (PubSub, BigQuery, Cloud Storage, Dataflow)
Version Control (Git)

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Yapily.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Yapily and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Yapily

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Yapily uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.