Mid/Senior Data Engineer (Risk and Finance Reporting) (Luminor Bank AS Lietuvos skyrius)
Darbdavys: Luminor Bank AS Lietuvos skyrius
Miestas: Vilnius
Paskelbta: 2026-10-25
💶 4000 - 6700 €/mėn. Prieš mokesčius · visa darbo diena · nuotolinis darbas: hibridinis · paskelbta 2026-10-21
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Job description:
Join us and get a once-in-a-lifetime opportunity to literally build a local banking champion!
Yes, you can! That's our attitude towards our work, ambitions, ideas, and relationships.We at Luminor believe that anyone has the potential to achieve big things and encourage everyone to achieve them,professionally and personally.
Whoever you are and whatever your role is, with Luminor, you will get a once-in-a-lifetime opportunity to build a local banking champion.
As a Software Engineer(Data) in Luminor’s Risk and Finance Reporting unit, you’ll be part of a team focused on establishing the foundation for data engineering within the risk and finance reporting domain. This role offers a unique opportunity to integrate data across systems, design new models and solutions, and support Luminor’s evolving regulatory requirements. You’ll play a central role in shaping scalable data architectures, building reliable data pipelines, and defining best practices that will guide the future of data engineering in risk reporting
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 systems
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:
3-5+ experience in a Data engineer position or a similar position, experience in financial industry considered as a Pluss.
Proven experience with SQL and Python; Other ETL engines are a plus
Experience with both SQL and NoSQL databases
Hands-on experience with cloud platforms (AWS, Azure, or GCP)
Experience with container orchestration tools (Kubernetes, Docker)
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)
Exposure to test automation and DevOps practices, including infrastructure as code and security best practices
Experience within the risk or finance business domain is a strong advantage
Ability to take ownership and drive initiatives independently
Fluent English is required in spoken and written communication due to working on the Pan-Baltic level
Company offers:
Flexibility. Flexible working hours, Hybrid work, and the possibility to work from anywhere in the EU, Iceland, Switzerland,…
Join us and get a once-in-a-lifetime opportunity to literally build a local banking champion!
Yes, you can! That's our attitude towards our work, ambitions, ideas, and relationships.We at Luminor believe that anyone has the potential to achieve big things and encourage everyone to achieve them,professionally and personally.
Whoever you are and whatever your role is, with Luminor, you will get a once-in-a-lifetime opportunity to build a local banking champion.
As a Software Engineer(Data) in Luminor’s Risk and Finance Reporting unit, you’ll be part of a team focused on establishing the foundation for data engineering within the risk and finance reporting domain. This role offers a unique opportunity to integrate data across systems, design new models and solutions, and support Luminor’s evolving regulatory requirements. You’ll play a central role in shaping scalable data architectures, building reliable data pipelines, and defining best practices that will guide the future of data engineering in risk reporting
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 systems
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:
3-5+ experience in a Data engineer position or a similar position, experience in financial industry considered as a Pluss.
Proven experience with SQL and Python; Other ETL engines are a plus
Experience with both SQL and NoSQL databases
Hands-on experience with cloud platforms (AWS, Azure, or GCP)
Experience with container orchestration tools (Kubernetes, Docker)
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)
Exposure to test automation and DevOps practices, including infrastructure as code and security best practices
Experience within the risk or finance business domain is a strong advantage
Ability to take ownership and drive initiatives independently
Fluent English is required in spoken and written communication due to working on the Pan-Baltic level
Company offers:
Flexibility. Flexible working hours, Hybrid work, and the possibility to work from anywhere in the EU, Iceland, Switzerland,…