IT Platform Lead - Data Engineering
Core
Design, build, modernize, and operate enterprise-scale data engineering platforms supporting analytics, AI/ML, regulatory reporting, and data-driven business use cases for European banking clients.
Role type
Senior IC Data Engineering Platform Lead
Builds
Scalable, secure, resilient data architectures (data lake, warehouse, lakehouse) and ETL/ELT pipelines for finance, risk, and regulatory use cases.
Domain
European Banking / Financial Services (BFSI)
Deliverable
production ML models | product features | infrastructure
Required skills
Enterprise data architecture, ETL/ELT pipeline design, Advanced SQL, Python, PySpark/Spark/Scala/Java, Batch processing, CDC, Pipeline orchestration, Data modeling (dimensional, data marts, DW), Big data technologies (Hadoop), Streaming/Event-driven platforms (Kafka), Workflow orchestration (Airflow/Control-M), Cloud platforms (Azure/AWS/GCP), Modern data platforms (Snowflake/Databricks/Synapse/BigQuery/Redshift), CI/CD/DevOps, Infrastructure-as-code, Data governance, GDPR compliance, Banking domain knowledge (Payments, Cards, Lending, Risk, Regulatory Reporting).
Preferred skills
Dataiku, BI platforms (MicroStrategy/Power BI/Tableau), Container platforms (Kubernetes/OpenShift), Data platform migration/modernization.
Technologies
Azure, AWS, GCP, Snowflake, Databricks, Azure Synapse, BigQuery, Redshift, PySpark, Spark, Scala, Java, Kafka, Airflow, Control-M, TWS, Kubernetes, OpenShift, Dataiku, MicroStrategy, Power BI, Tableau, Git, Docker, Terraform.
Responsibilities
Own and drive enterprise data platform strategy, roadmap, standards, and implementation; Design scalable data architectures across lake, warehouse, and lakehouse; Lead end-to-end platform development, operations, and modernization; Build and manage robust pipelines for analytics, reporting, and regulatory use cases.
Seniority
Senior, hands-on IC with technical leadership