Senior Data Engineer
Core
Design, build, and operate scalable data platforms enabling campaign measurement, customer insights, reporting, and AI/ML initiatives for a global payments and financial-services leader.
Role type
Senior IC data engineer (cloud-native, real-time)
Builds
Scalable batch, streaming, and real-time data pipelines; reusable frameworks for ingestion, transformation, orchestration, and delivery across data lake, warehouse, and lakehouse solutions.
Domain
Fintech, payments, financial services, marketing analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Distributed data-processing solutions, Spark, Kafka, Hadoop ecosystem, Python/Java/Scala/SQL, data modelling, ETL/ELT design patterns, cloud platforms (Databricks/AWS/Azure/GCP), data governance, CI/CD, infrastructure-as-code, observability, technical leadership, mentoring
Preferred skills
Marketing/campaign/customer-insights domain knowledge, real-time streaming architectures at enterprise scale, Generative AI or AI-assisted engineering workflows
Technologies
Spark, Kafka, Hadoop, Databricks, AWS, Azure, GCP
Responsibilities
Design and maintain scalable data pipelines; develop frameworks for data lifecycle management; lead platform scalability and resiliency initiatives; drive cloud migration and modernization; provide data foundations for advanced analytics and AI/ML; establish engineering best practices and lead root-cause analysis; mentor engineers and shape architectural decisions
Seniority
Senior, hands-on IC with leadership responsibilities