Data Engineer designing and optimizing data pipelines using Databricks and Google Cloud Platform. Collaborating with analysts and scientists to deliver high - quality data products.
About the role
- Design and implement ETL/ELT pipelines and modernize legacy banking data systems. Collaborate across international Agile teams to deliver scalable, secure data solutions.
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 to serve regulatory, operational, and analytical needs
- Support and modernize legacy data systems and ensure smooth migration to a unified data platform architecture
- 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 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 (Airflow or dbt)
- Experience with modern data warehousing solutions (Snowflake, BigQuery, Redshift)
- Working knowledge of enterprise data platforms (Oracle DB, SAP IQ, SAP Data Services, SAP Business Objects) and reporting tools (Power BI)
- Knowledge of solution integrations (real-time, message-based, event-driven) including bridging legacy systems with modern data platforms
- Experience with both SQL and NoSQL databases
- Exposure to test automation and DevOps practices, including infrastructure as code and security best practices
- Experience within the customer business domain is a strong advantage
- Proactive approach and ownership mindset
- Ability to thrive in a fast-changing environment
- Fluent English in spoken and written communication
- Preferably already located within the Baltics
Benefits
- Flexibility: Flexible working hours and Hybrid work with possibility to work from anywhere in the EU, Iceland, Switzerland, and the UK (90 days/year)
- International teams and cross-border collaboration
- Additional weeks of vacation available after 1 year of employment
- Volunteer time off (additional days for volunteering)
- Paid leave: 30 fully paid calendar days for military training per year
- Health benefits: Health insurance after first 3 months in Baltic states and Health days for sickness without doctor’s note
- Wellbeing: Access to tools and resources to support wellbeing and productivity
- Professional growth: Internal and external training programs, workshops, conferences, online training
- Special offers for Luminor products & services
Job title
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