Join Luminor as a Mid/Senior Data Engineer focusing on data engineering within risk and finance reporting. Collaborate to design scalable data architectures and support regulatory requirements while enhancing data integration processes.
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 integration and synchronization across systems
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
Work as part of a cross-functional Agile development team
Requirements
3-5+ years experience in a Data Engineer position or similar
Proven experience with SQL and Python; other ETL engines are a plus
Experience with both SQL and NoSQL databases
Hands-on experience with cloud platforms (AWS, Azure, or GCP)
Experience with container orchestration tools (Kubernetes, Docker)
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)
Exposure to test automation and DevOps practices
Experience within risk or finance business domain is a strong advantage
Fluent in English (spoken and written)
Benefits
Flexible working hours
Hybrid work arrangements
Possibility to work from anywhere in the EU, Iceland, Switzerland, and the UK (90 days/year)
Additional weeks of vacation for employees with over 1 year in the company
Additional days off for volunteering
30 fully paid calendar days for military training
Health insurance after 3 months
Health days for sick leave without doctor's note
Access to tools for wellbeing
Internal and external training programs
Job title
Mid/Senior Data Engineer – Risk and Finance Reporting
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.
Junior Data Engineer role focusing on Business Intelligence and Big Data at Avanade. Collaborating on data analysis and SQL queries in a supportive learning environment.
GCP Data Engineer designing and developing data processing modules for Ki, an algorithmic insurance carrier. Working closely with multiple teams to optimize data pipelines and reporting.
Data Engineer at Securian Financial optimizing scalable data pipelines for AI and advanced analytics. Collaborating with teams to deliver secure and accessible data solutions.