Senior Software Engineer (Data Platform)

Software Engineer
Remote
June 11, 2026
Full Time
Application ends: September 9, 2026
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Job Description

As a Senior Software Engineer, you’ll take the lead in designing and building the bank’s core data systems—everything from ingestion and processing to storage and sharing. Your work will shape scalable, high‑performance data architectures and robust ETL/ELT pipelines that keep information flowing reliably across the organization. You’ll collaborate closely with analysts, engineers, and business teams to deliver high‑quality, secure, and well‑monitored data solutions that support critical banking processes. Operating in a cross‑functional Agile environment, you’ll drive technical improvements, solve complex challenges, and play a key role in advancing the bank’s data capabilities across the Pan‑Baltic region.

How You Will Make an Impact:

  • 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 seamless system integration and data synchronization across domains
  • 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

What Makes You a Great Fit:

  • Proven experience with SQL and Python or Java
  • 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 like Airflow or dbt
  • Experience with data warehousing solutions (Snowflake, BigQuery, Redshift, Databricks)
  • Knowledge of solution integrations (real-time, message-based, event-driven)
  • 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
  • Ability to take ownership and drive initiatives independently

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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