Support deployment and operation of workloads on AWS (S3, Athena, Glue, Kafka, Iceberg tables)
Ensure reliability and performance of data pipelines and batch/stream processing jobs
Maintain DEV / TEST / PROD environments aligned with regulatory requirements
Implement monitoring, logging, and alerting for data pipelines and applications
Ensure SLAs and data availability for regulatory reporting use cases
Implement secure deployment practices following internal policies

Experience with DevOps practices in data/cloud environments
Strong hands-on experience with AWS (S3, Glue, Athena or similar services)
Experience supporting Spark-based workloads (PySpark) and streaming systems (Kafka)
Understanding of modern data lake technologies (e.g., Iceberg or similar table formats)
Experience with CI/CD tools (Git-based pipelines)
Familiarity with Python-based services (Django or similar)
Understanding of monitoring, observability, and incident response practices
Awareness of data governance, security, and regulatory constraints in financial environments
Fluent English in spoken and written communication

Health insurance after the first 3 months in all three Baltic states
Additional weeks of vacation for employees with 1 year or more
Volunteer time off for additional days off for volunteering
30 fully paid calendar days for military training every year
Access to tools and resources that help you feel good and be productive at work and in life
Internal and external training programs, LinkedIn learning, workshops, conferences, online training

DevOps Engineer

Key skills