Senior Data Engineer

Summary

Join FairMoney, a leading mobile banking institution, as a Senior Data Engineer. With 5+ years of experience in data engineering and a proven ability to lead teams, you will play a key role in shaping our real-time data infrastructure. Responsibilities include designing, building, and maintaining scalable real-time data pipelines using Apache Flink and Kafka. You will also lead and mentor junior engineers, ensuring data solutions adhere to governance standards. This is a unique opportunity to contribute to a fast-growing fintech company with a strong international presence. FairMoney offers competitive benefits, including family leave, paid time off, and remote work options.

Requirements

• 5+ years in data engineering or a related field, with deep expertise in real-time data processing
• Proficient in Python or Scala with a strong understanding of scalable system design
• Hands-on experience with Kafka, Kafka Connect, and Apache Flink; familiarity with Flink CDC is a plus
• Working knowledge of AWS services such as S3, DynamoDB, Kinesis, Kubernetes, Lambda, SageMaker, Glue, and Athena
• Experience with performance tuning of data systems for speed and efficiency

Responsibilities

• Design, build, and maintain scalable real-time data pipelines
• Leverage Apache Flink to perform high-performance, advanced stream processing
• Implement and manage Apache Kafka for real-time data ingestion and streaming workflows
• Develop efficient and maintainable Python or Scala code for data transformation and processing
• Lead and mentor junior data engineers, promoting engineering best practices
• Oversee the migration of existing data platforms with a focus on data integrity and minimal service disruption
• Work closely with cross-functional teams to define data needs and deliver robust, scalable solutions
• Ensure all data solutions adhere to data governance and quality standards throughout their lifecycle

Benefits

• Family Leave (Maternity, Paternity)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Remote Work