Mid-Senior Data Engineer role in Risk Reporting for Luminor, a leading Baltic bank. Integrating data, designing solutions, and shaping scalable data architectures for banking processes.
Responsibilities
Design, implement, and continuously improve systems for data ingestion, processing, storage, and sharing
Build and optimize data architectures for performance, scalability, and reliability
Develop and maintain ETL/ELT pipelines using modern tools and frameworks
Ensure seamless integration and synchronization across CRM, servicing channels, and sales tools
Uphold high standards of data quality, security, availability, and performance
Collaborate with analysts, software engineers, and business stakeholders to understand data needs and deliver solutions
Perform code reviews, troubleshoot software, and fix defects
Implement monitoring and alerting for data workflows
Gain expertise in a variety of banking processes and products
Work as part of a cross-functional Agile development team in a Pan-Baltic, international environment
Requirements
Proven experience with SQL and Python; Java is a plus
Hands-on experience with cloud platforms (AWS, Azure, or GCP)
Experience with container orchestration tools (Kubernetes, Docker)
Strong understanding of streaming data pipelines and platforms (Kafka, Spark, Flink)
Familiarity with data pipeline tools like Airflow or dbt
Experience with data warehousing solutions (Snowflake, BigQuery, Redshift)
Knowledge of solution integrations (real-time, message-based, event-driven)
Experience with both SQL and NoSQL databases
Exposure to test automation and DevOps practices
Experience within the customer business domain is a strong advantage
Ability to take ownership and drive initiatives independently
Fluent English is required in spoken and written communication
Join Luminor as a Mid/Senior Data Engineer focusing on data engineering within risk and finance reporting. Design and optimize data systems supporting evolving regulatory requirements in a dynamic banking environment.
Join Luminor as a Mid/Senior Data Engineer focusing on data engineering within risk and finance reporting. Collaborate to design scalable data architectures and support regulatory requirements while enhancing data integration processes.
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