About the Role
Join us as a Senior Data Engineer in Anti-Financial Crime & Compliance Technology team! As part of our Pan-Baltic Anti-Financial Crime & Compliance Technology team, you'll be building scalable, secure, and high-performing data solutions that power our financial crime prevention controls and tools. You'll work closely with cross-functional teams to ensure seamless data flows across systems, and help us move towards a modern, decentralized data architecture inspired by data mesh principles.
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
•Design and operate Apache Spark data pipelines on Amazon EMR and AWS Glue, using Apache Iceberg tables across Bronze, Silver, and Gold layers of the Medallion framework
•Ensure seamless integration and synchronization across lending automation systems, retail lending tools and processing systems
•Uphold high standards of data quality, security, availability, and performance within data mesh principles
•Collaborate with analysts, software engineers, and business stakeholders to understand data needs and deliver solutions
•Perform technical specification and code reviews, integration testing, 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 according to data mesh principles
Compensation & Benefits
•Gross salary: 4,760–6,800 EUR/month, to be determined depending on level of experience and competencies
•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 that go outside Pan-Baltic borders, where people value challenging work together with good humor and having fun
•Culture: a dynamic environment that keeps you learning, growing, and never bored
•More vacation: additional weeks of vacation for employees who have been in the company for 1 year or more
•Volunteer time off: additional days off for volunteering purposes
•Paid leave: 30 fully paid calendar days per year for employees participating in military training
•Health benefits: health insurance after the first 3 months in all three Baltic states, plus Health days in case of absence due to sickness without a doctor's note needed
•Wellbeing: access to tools and resources that help you feel good and be productive at work and in life
•Professional growth: internal and external training programs, LinkedIn Learning, workshops, conferences, online training, etc.
•Special offers & pricing for Luminor products & services
The application deadline is the 8th of November. We are looking for a candidate primarily already located within the Baltics. Please apply with your CV in English and PDF format!
Requirements
•Proven experience with SQL/Python and data warehousing
•Hands-on experience with cloud platforms (AWS, Azure, or GCP)
•Hands-on experience with Apache Spark, including performance tuning and development of scalable pipelines
•Experience implementing lakehouse architectures with Apache Iceberg and Medallion layers, preferably using Amazon EMR, AWS Glue, Amazon S3, and the AWS Glue Data Catalog
•Familiarity with data pipeline tools like Apache Airflow or dbt
•Experience with data warehousing solutions (Snowflake, BigQuery, Redshift, SAP Sybase IQ)
•Experience with ETL/ELT designer tools
•Knowledge of solution integrations (real-time, message-based, event-driven)
•Experience within the Anti-Financial Crime/AML 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
