About the company
Life @ AP+: We are one connected team in pursuit of one inspiring purpose – to unite people and technology to power better experiences. Each of us has a part to play in making that happen. You’ll be encouraged to bring your big ideas forward and make a difference through your work. Taking steps forward in your career whilst still having room for fun, friendships, and flexibility in your daily life. We’re driven by our core values: lead with heart, learn for tomorrow and live our legacy.
Responsibilities
- Design, build, deploy and maintain scalable batch and real-time data pipelines that ingest, transform and make large, complex datasets available for business use.
- Build ingestion pipelines to integrate data from APIs, databases, files, event streams and third-party platforms.
- Design pipelines for reliability, scalability, performance and maintainability.
- Implement orchestration, observability, error handling, reconciliation and recovery mechanisms.
- Implement incremental processing, CDC and event-driven integration patterns as appropriate.
- Apply strong governance, security practices to payment and transaction data.
- Develop tables, views, schemas, stored procedures and other Snowflake data objects.
- Develop tests to validate data quality and transformation logic.
- Monitor and optimise pipeline and platform performance, troubleshoot technical issues.
- Provide On-call support as part of a rotational roster.
Requirements
- 2+ years of hands-on experience building and maintaining enterprise or bank-grade data infrastructure, ideally in payments, banking or financial services.
- Prior experience in cloud databases like Snowflake, DBT, orchestration tools like airflow, event streaming platform like Kafka.
- Building and maintaining software components that are part of build pipelines.
- Strong experience with Snowflake, SQL and NoSQL data stores, including complex queries, transformations, data warehousing and large-scale data manipulation.
- Strong Python capability and experience building data pipelines and integrations using APIs, ETL/data processing technologies and cloud infrastructure such as AWS.
- A solid understanding of data modelling, data quality, reconciliation, governance and security when working with transaction or payment data.
- Experience connecting and operationalising data across warehouses, lakes, streaming platforms and analytics tools, with an eye for performance, scalability and reliability.
- A curious, collaborative engineering mindset - comfortable working autonomously in Agile teams, navigating ambiguity and partnering with analysts and business stakeholders to turn data into practical outcomes.