Senior Data Platform Engineer

The Role

You will join an extension team of our client – Funding Circle.

At Funding Circle, we believe the world needs small businesses. That’s why we’ve made it our mission to help them get the finance they need to grow.

With more than a decade of expertise under our belt, we’ve built a game-changer of a platform with cutting-edge data and technology that’s reshaping the landscape of SME lending. Say goodbye to lengthy applications and hello to lightning-fast decisions! In just minutes, SMEs across the UK can get a decision, giving them access to competitive funding in a flash.

We know that good business is about good people. So, we pride ourselves on providing meaningful, human support as well as fast, hassle-free processes to deliver an unbeatable customer experience.

We are looking for a Senior Data Platform Engineer to join our Data Platform Engineering team which sits under Tech and Data.

Data is core to our mission at Funding Circle to build a better financial world as well as being our key asset that everyone across the organisation has a part to play in making sure that we look after it, allowing us to better support our customers.

What you’ll do:

• Participate in design decisions and implementation of data platform tools and infrastructure
• Ensure systems follow the agreed principles and architecture defined at Funding Circle
• Actively contribute to initiatives to enhance data quality, data culture and governance across the data team
• Build, optimise, and maintain robust data pipelines to process data from various sources, ensuring data is clean, accurate, and readily available for analytics teams
• Work closely with Data Scientists, Analysts, and Software Engineers to design and implement data solutions that meet organisational needs
• Participate in discussions around data modelling and architecture
• Maintain comprehensive technical documentation for data systems, processes, and tools

What we’re looking for:

• Strong proficiency in SQL/Python/PySpark and/or other languages relevant to da processing
• Experience with Infrastructure as code e.g Terraform, for managing cloud infrastructure
• Experience designing, implementing, and maintaining CI/CD pipelines for data applications and infrastructure
• Expertise with cloud platforms like AWS, GCP or Azure preferably AWS
• Experience with dbt for data transformations and Kafka (or other streaming technologies) is a strong plus
• Proficiency in data modeling and designing scalable data architectures to support analytics and operational use cases
• Knowledge of data governance, security, and compliance best practices in cloud-based data platforms
• Excellent problem-solving skills and attention to detail
• A passion for creating business value through data
• Strong communication skills, in particular the ability to translate technical skills to non-technical stakeholders

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