Data Engineer at CBTW handling data pipelines and ETL processes using SAS. Collaborating with business stakeholders and ensuring data governance within SAS environments.
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
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
Data Engineer I at Catalyst Brands developing and optimizing data pipelines for cross - functional teams. Designing next generation data platform architecture to meet increasing data demands in a retail environment.
Data Engineer at Grupo Iter responsible for data pipelines and architecture in Azure. Collaborating on data governance and integrating analytics with Power BI.
Data Analyst for Technical Registrations at Alpargatas. Responsible for SAP data governance and product registration processes.
Full Stack Data Architect for Concurrency designing Azure data - intensive applications. Leading complex data architecture initiatives and mentoring engineering teams in a high - performance environment.
AHEAD builds digital business platforms; seeking a Data Engineer in a development program. Join us to grow into a technical leader emphasizing skills across various practices.
Data Engineer creating clean, reliable data pipelines for Plenti, a fintech lender. Collaborating with modern tools like AWS and Databricks to enhance data quality and analytics.
Data Platform Specialist overseeing data quality and platform operations at Stackgini. Collaborating with teams to enhance data management solutions and improve system performance.
Staff Data Engineer at PPRO transforming data ecosystem into a self - service platform. Leading technical vision for data engineering and building scalable infrastructures.
SSIS Data Engineer at iKnowHow Group focusing on data migration projects. Involves data modeling, integration, and using T - SQL/SQL alongside SSIS packages.