Data Engineer

We are looking for a talented Data Engineer to join our finplatform team and work from our office in London. The team works alongside the analytics team informing all product decisions and creating models and infrastructure to improve efficiency, growth, and security. We work closely with most sides of the business including fraud, trading, product, growth and finance. Our automated ETL processes serve both the broader company (in the form of dashboards and back-end data sources for product features) and the analytics team itself (cleaning and processing data for analysis and modeling purposes, ensuring reproducibility).

We are looking for someone passionate about driving informed decision making and growth within a company and wants to use their skillset to solve real-life problems. You will need experience in designing, building, and maintaining a scalable and robust Data Infra that makes data easily accessible for analytics and the broader audience via different tools. As a data engineer, you will be involved in all aspects of the data infrastructure, from understanding current bottlenecks and requirements to ensuring the quality and availability of data. You will collaborate closely with data analysts, platform, and front-end engineers, defining requirements and designing new systems for both streaming and batch processing of data, as well as maintaining and improving existing ones. Being proactive in identifying issues, digging deep into their source, and developing solutions, are at the heart of this role.

Our tech stack includes: Python, Airflow, Docker, Google Cloud Platform (GCP), Spark, BigQuery, and Kubernetes.

WHAT YOU WILL DO

• Own new projects and integrations from start to end, communicating with stakeholders and turning requests into actionable plans
• Maintain and evolve the current data infrastructure to keep up with scalability, reliability and business requirements
• Maintain and extend our core data pipelines and ETLs
• Provide best practices and frameworks for data testing and validation and ensure reliability and accuracy of data
• Design, develop and implement data visualization and analytics tools and data products.

WHAT YOU WILL NEED

• Previous experience working in a data engineering role
• Fluency in Python
• Good understanding of SQL
• Previous experience with ETL pipelines
• Experience working with Google Cloud Platform
• In-depth knowledge of SQL and no-SQL databases
• In-depth knowledge of coding principles, including Oriented Object Programming
• CICD

NICE TO HAVE

• Bachelor’s degree in Computer Science, Applied Mathematics, Engineering or any other technology-related field
• Experience with code optimisation, parallel processing
• Experience with Airflow, Google Composer or Kubernetes Engine
• Experiences with other programming languages, like Java, Kotlin or Scala
• Experience with Spark or other Big Data frameworks
• Experience with distributed and real-time technologies (Kafka, etc..)
• 2-5 years commercial experience in a related role

COMPENSATION & PERKS

• Full-time salary based on experience and meaningful equity in an industry-leading company
• This is a hybrid role based in our London office, with a mandatory in-office presence three days per week.
• Work from Anywhere Policy: You can work remotely from anywhere in the world for up to 20 days per year.
• ClassPass
• Budgets for learning & professional development
• Unlimited vacation policy; work hard and take time when you need it
• Apple equipment
• The opportunity to be a key play