At a Glance
- Tasks: Design and scale a next-gen data platform while integrating with FinTech ecosystems.
- Company: Join Yapily, a leader in open banking, driving financial innovation.
- Benefits: Enjoy flexible hybrid working, 25+ days holiday, and a £200 personal development budget.
- Other info: Collaborative culture focused on quality, integrity, and continuous learning.
- Why this job: Make a real impact in the FinTech space with cutting-edge technology.
- Qualifications: 3+ years in data engineering, strong API integration skills, and cloud experience.
The predicted salary is between 50000 - 70000 £ per year.
Yapily is on a mission to enable innovative companies to create better and fairer financial services for everyone, through the power of open banking. Within this mission, our finance team plays a pivotal role in fostering Yapily's expansion while ensuring financial well-being. As a Data Platform Engineer (Infrastructure & Integrations) at Yapily, you will contribute to the architecture, design, and scaling of our modern, next-generation data platform. This is a mid-to-senior level role perfect for an experienced engineer who thrives at the intersection of core data infrastructure and complex FinTech ecosystem integrations.
You will own the evolution of our high-performance data pipelines, ledger reporting, and critical business system integrations. This role offers a front-row seat to evolving Yapily's GCP (Google Cloud Platform) and Databricks stack, empowering our engineering and finance teams to transform raw transactional data into highly secure, compliant, and actionable value.
As a Data Platform Engineer, you will be responsible for:
- Data Lake & Databricks Architecture: Evaluate and implement optimal modern storage and ingestion tools. Lead the end-to-end implementation and optimization of Databricks Pipelines for our big data processing needs.
- FinTech Tooling & Integrations: Drive the Proof of Concept (POC) and full implementation of our corporate Transaction Fraud Monitoring Tool, ensuring automated flows across systems.
- Salesforce & Ecosystem Engineering: Architect and build production-grade, secure connectors from Salesforce to the Transaction Monitoring tool, and lead the integration of our Know Your Business (KYB) tools directly into Salesforce to automate onboarding.
- Treasury & Finance Automation: Own the technical integration between our corporate Treasury systems and core Finance tools to streamline automated cash positioning and financial reconciliations.
- Ledger & Activity Reporting: Design and maintain scalable, high-fidelity data pipelines to power Ledger and Activity Reporting within an event-driven architecture.
- Database & Cloud Operations: Manage high-volume financial data utilizing SQL, NoSQL, and GCP services (such as Pub/Sub, PostgreSQL, BigQuery, and Cloud Storage), ensuring optimal schema design and cost-efficient query performance.
- Cross-functional Technical Leadership: Partner closely with Finance, Compliance, and Core Engineering teams to translate complex business workflows into robust technical solutions.
- Platform Quality & Infrastructure as Code (IaC): Maintain rigorous monitoring, logging, and testing frameworks while utilizing tools like Terraform/Terragrunt/Harness to ensure infrastructure flexibility and resilience.
What You Bring
- Core Data Engineering Experience: 3+ years of professional experience building and scaling data platform infrastructure, ideally within an enterprise or fast-growing startup environment.
- Big Data Ecosystems: Production-grade experience implementing and managing Databricks/BigQuery or Apache Spark environments.
- Integration & API Expertise: Strong background designing, building, and maintaining custom REST APIs and webhooks. Hands-on experience integrating with major business SaaS platforms (specifically Salesforce) is highly valued.
- Advanced Languages & Querying: Proficiency in Java/Python (for data automation and scripting) and advanced SQL (for schema optimization and complex financial ledger querying).
- Cloud Infrastructure: Proven experience working inside a major cloud provider ecosystem, ideally GCP (BigQuery, Pub/Sub, Cloud Storage) or equivalent AWS/Azure components.
- Problem-Solving & Autonomy: An architectural mindset with the ability to independently evaluate vendor tools, build robust POCs, and own technical roadmaps from conception to deployment.
Preferred Skills (Nice to Have)
- FinTech Domain Knowledge: An active interest or background in Open Banking, high-volume transactional processing and FinTech ecosystems.
- Compliance Tooling Experience: Previous exposure to financial compliance systems, including Transaction Monitoring, AML, or KYC/KYB workflows.
- Infrastructure as Code: Experience provisioning data infrastructure using Terraform/Terragrunt.
- Containerization: Strong knowledge of Docker and managing containerized applications in production Kubernetes environments.
This list is not exhaustive, and there may be other tasks that we ask you to be involved in from time to time. Above all, you are flexible and want to add value wherever you can. You understand that in a start-up, priorities change and we all need to be adaptable.
For your new role, you have proven experience as a Data Platform Engineer or similar role, preferably in a SAAS or technology-driven environment. Excellent interpersonal and communication skills, with the ability to collaborate effectively with colleagues at all levels of the organization. You are focused on quality and attention to detail. You have strong attention to detail and analytical skills, with the ability to interpret complex financial data and communicate insights effectively. Ability to thrive in a fast-paced, dynamic environment while maintaining a high level of accuracy and professionalism. Strong proficiency in Microsoft Excel. You are a people-focused contributor. You have exceptionally high integrity. You'll treat all interactions with the confidentiality, sensitivity and diplomacy they deserve. You're commercially minded - you understand how effective risk management and regulatory compliance can positively impact our products, services and wider business. 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 understand that your stakeholders will have different strengths. You're happy to learn from them and to share your expertise. 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 have a can-do approach. You think on your feet. Switching up tasks and juggling multiple priorities comes naturally to you.
25 days holiday a year (plus bank holidays) in the UK. We also offer an additional holiday day after 1 years service, up to the value of 5 days over 5 years. We're serious about work/life balance and operate hybrid working, giving you the flexibility to work from home, working from our amazing office space or work abroad for up to 30 days per year 'Nomad Working'. We offer enhanced Paternity and Maternity leave. Comprehensive Private Medical Insurance through BUPA. Mental health support through an award-winning provider. Company Pension Scheme. £200 annual Learning and Personal Development budget. Cycle To Work Scheme. Employee Referral Scheme which offers £1,000 per employee referral. We have a monthly social budget to support getting together over pizza. Daily snacks provided in the office. Dog friendly office.
OUR VALUES
- We obsess about quality. 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 are do-ers. 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.
Data Platform Engineer (Infrastructure & Integrations) employer: Yapily Ltd
Yapily is an exceptional employer that champions innovation and collaboration within the FinTech space, offering a dynamic work culture that prioritises employee well-being and professional growth. With a strong commitment to work-life balance, hybrid working options, and a comprehensive benefits package including enhanced parental leave and a generous learning budget, Yapily empowers its employees to thrive both personally and professionally in a supportive environment. Join us in shaping the future of open banking while enjoying a vibrant office atmosphere and the flexibility to work from anywhere.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer (Infrastructure & Integrations)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Yapily Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Platform Engineer (Infrastructure & Integrations) at Yapily Ltd.
✨Leverage Professional Networks
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 Yapily Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Data Platform Engineer (Infrastructure & Integrations) at Yapily Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Platform Engineer (Infrastructure & Integrations)
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Yapily Ltd, 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 Yapily Ltd. 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 Yapily Ltd
✨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!
✨Showcase Your Projects
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 Yapily Ltd!
✨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.