Define data products based on existing data and collected requirements
Design the data product and contract requirements
Collaborate with business stakeholders and software engineers to understand data needs and deliver solutions
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

Ability to take ownership and drive initiatives independently
Deep analytical skills
Experience with both SQL and NoSQL databases
Iceberg data structures design
Experience with any of data warehousing solutions (i.e Snowflake / BigQuery / Redshift)
Familiarity with data pipeline tools like Airflow or dbt
Fluent English is required in spoken and written communication due to working on the Pan-Baltic level
Advantage: Familiarity with BIAN and ISO 20022 standards and protobuf data format
Experience within the finance business domain and/or regulatory reporting is a strong advantage
Understanding of streaming data pipelines and platforms (Kafka, Spark, Flink)
Experience with Python, ETL engines
Experience with cloud platforms (AWS, Azure, or GCP)

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)
More vacation. Additional weeks of vacation are available to all employees who have been in the company for 1 year or more
Volunteer time off. We care about giving back to society, therefore, you will get additional days off for volunteering purposes
Paid leave. We are proud of our employees who are participating in military training. Therefore, Luminor offers 30 fully paid calendar days for military training every year
Health benefits. A competitive benefits package in addition to your salary that includes health insurance after the first 3 months pass in all three Baltic states, as well as Health days in case of your 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
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Data Analyst – Payments Unit

Key skills