Associate Data Engineer supporting privacy engineering controls and executing privacy impact assessments in a financial services company. Collaborating across business units to ensure alignment with privacy regulations.
About the role
- Mid/Senior Data Engineer building and modernizing data ingestion, ETL/ELT pipelines and architectures for Luminor bank.
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, ensuring 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 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 (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
- Capability to thrive in a fast-changing environment
- Fluent English in spoken and written communication
Benefits
- Flexibility. Flexible working hours, Hybrid work, and the possibility to work from anywhere in the EU, Iceland, Switzerland, and the UK (in total 90 days per year)
- International teams
- More vacation. Additional weeks of vacation available after 1 year
- Volunteer time off. Additional days off for volunteering
- Paid leave. 30 fully paid calendar days for military training every year
- Health benefits. Health insurance after the first 3 months in Baltic states; Health days for sickness without doctor’s note
- Wellbeing. Access to tools and resources for wellbeing and productivity
- Professional growth. Internal and external training programs, workshops, conferences, online training
- Special Offer for Luminor products & services. Special offers & pricing for Luminor products and services
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
Data Engineer at CVS Health optimizing data pipelines and analytical models. Driving data - driven decisions with healthcare data for improved business outcomes.
Senior Data Engineer at CVS Health developing robust data pipelines for healthcare data. Collaborating with teams to provide actionable insights and integrate them with consumer touchpoints.
Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
Data Architect leading the definition and construction of cloud data architecture for Kyndryl. Participating in significant technological modernization initiatives, focusing on Google Cloud Platform.
Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
Experienced AI Engineer designing and building production - grade agentic AI systems using generative AI and large language models. Collaborating with data engineers, data scientists in a tech - driven company.
Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.
Data Engineer managing and organizing datasets for AI models at Walaris, developing AI - driven autonomous systems for defense and security applications.
Data Engineer designing and maintaining data pipelines at Black Semiconductor. Collaborating with process, equipment, and IT teams to support manufacturing analytics and decision - making.