Data Engineer
Core
Design, enhance, and maintain scalable data pipelines and platforms to enable efficient data management and business insights for a global financial services firm.
Role type
Senior Data Engineer
Builds
Data pipelines, data catalogues, ETL scripts, and data infrastructure connecting operational systems to analytics platforms.
Domain
Financial Services / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Go, Scala, C++, Kotlin, Linux, Bash scripting, SQL (PostgreSQL, MySQL, SQL Server), Cloud platforms (AWS, Azure, GCP), Data lakes/warehouses (Snowflake, Databricks, Redshift), Stream processing (Kafka, Kinesis), PySpark, Dask, Node.js, JavaScript
Preferred skills
European languages
Technologies
Python, Go, Scala, C++, Kotlin, Linux, Bash, PostgreSQL, MySQL, SQL Server, AWS, Azure, GCP, Snowflake, Databricks, Redshift, Kafka, Kinesis, PySpark, Dask, Node.js, JavaScript
Responsibilities
Design and maintain optimal data pipeline architectures; Develop and optimize data flows and ETL scripts; Drive continuous improvement by automating tasks and redesigning infrastructure; Collaborate with stakeholders to provide data infrastructure support.
Seniority
Senior, hands-on IC
