Senior Data Engineer
Location: London Victoria, Hybrid
Reports to: Engineering Manager A bit about us At nudge we believe people need to be in control of their finances. nudge puts you in control of your money. Combining behavioural psychology, data, and personalised education, our financial wellness benefit empowers people to develop their financial skills and knowledge. A global SaaS solution without conflicting financial products, our inclusive approach is trusted by some of the world's most recognisable brands, such as Meta, Accenture and PepsiCo, to support the financial wellbeing of their employees. About the team Our team is united by the shared purpose to create brighter financial futures for everyone, everywhere. Data is at the heart of our decision-making. You'll work closely with product, data, infosec and engineering teams. Role purpose You will be instrumental in designing and building scalable data infrastructure, pipelines, and tooling to support advanced analytics, real-time data applications, and regulatory compliance. This is an opportunity to make a meaningful impact on the lives of thousands of people across the globe. What will you be doing? Things move fast at nudge, and we are always learning. This means we need to stay agile, meaning the responsibilities of a role are never set in stone. Responsibilities
- Design, build, and maintain robust, scalable, and secure data pipelines and ETL processes from various structured and unstructured data sources
- Leverage data mining techniques to extract meaningful insights from large-scale datasets, including customer transactions, behavioural data, and third-party data providers
- Develop and optimise data models for analytics and business intelligence applications
- Integrate and manage open banking APIs and datasets (e.g. PSD2, Open Banking UK, CDR Australia), ensuring compliance with regulatory standards
- Implement and enforce data governance, privacy, and security standards
- Evaluate new data technologies and tools to support continuous improvement and innovation in data engineering practices
- 8+ years of experience in data engineering, with a strong focus on data mining and big data processing
- Strong knowledge of open banking frameworks, protocols, and APIs (e.g. Open Banking UK, PSD2)
- Proficiency in programming languages such as Python, Scala, or Java
- Experience with cloud data platforms such as GCP (BigQuery, Dataflow) or Azure (Data Factory, Synapse)
- Expert in SQL, MongoDB and distributed data systems such as Spark, Databricks or Kafka
- Familiarity with data warehousing concepts and tools (e.g. Snowflake)
- Experience with CI/CD pipelines, containerization (Docker), and infrastructure-as-code (Terraform, CloudFormation)
- Strong understanding of data privacy, data sharing regulations (GDPR, CCPA), and API security
- Experience in C#
- Good communication and stakeholder management skills
- Share options
- Private Medical Insurance
- Health Cash Plan
- Life Assurance
- Critical illness cover
- A flexible working environment
- 25 days annual leave, plus your birthday off
- A personal learning and development allowance
- A company pension scheme
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