Data Engineer managing and organizing datasets for AI models at Walaris, developing AI - driven autonomous systems for defense and security applications.
About the role
- Mid-Senior Data Engineer in Luminor's Risk Reporting unit designing and implementing data solutions and architectures. Collaborating with stakeholders to meet evolving regulatory requirements.
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, including infrastructure as code and security best 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 due to working on the Pan-Baltic level.
Benefits
- Flexible working hours
- Hybrid work
- Possibility to work from anywhere in the EU, Iceland, Switzerland, and the UK (90 days per year)
- Additional weeks of vacation available after 1 year of employment
- Additional days off for volunteering purposes
- 30 fully paid calendar days for military training per year
- Health insurance after the first 3 months in all three Baltic states
- Access to tools and resources for wellbeing
- Internal and external training programs, LinkedIn learning, workshops, conferences, online training
- Special offers & pricing for Luminor products & services
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