data engineer for capital and credit data
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Summary
Designs, builds, and maintains scalable ELT/ETL data pipelines and high-performance SQL/PL-SQL for Snowflake and Oracle on Nordea's capital and credit data platform, with CI/CD automation, AI-assisted development, and hybrid on-prem/cloud infrastructure. Hybrid role based in Poland (and Finland).
Описание
Nordea is a bank and technology employer focused on evolving finance securely and responsibly. It provides financial solutions and safeguards customers' personal data and wealth, serving millions of people.
Задачи
- Design, build, and maintain scalable ELT/ETL pipelines
- Develop and optimize PL/SQL queries and database objects for high-performance data storage in Snowflake and Oracle
- Implement CI/CD pipelines for data infrastructure and workflow automation
- Apply AI tools, including GitHub Copilot, Microsoft Studio Copilot, and Cortex AI
- Integrate and manage the modern data stack
- Monitor, debug, and optimize data workflows and infrastructure performance
- Ensure data quality, governance, and compliance with good practices
- Optimize data workflows, write efficient scripts using Bash, Python, and SQL, and manage on-premises and cloud-based hybrid infrastructure
Требования
- 12+ Years of experience
- A BSc, MSc, or PhD in Computer Engineering, Engineering, Computer Science, or another relevant field
- Proficiency in designing OLAP systems and using techniques such as star schema, snowflake schema, or denormalization
- Proficiency in SQL and PL/SQL in Snowflake
- Experience developing ELT/ETL using DataStage, Airflow, and Snowflake
- Strong experience with modern data platforms, including Snowflake, dbt, and Airflow
- Knowledge of database management with Snowflake, Oracle, and MSSQL
- Understanding of DevOps, Git, and CI/CD pipeline development tools such as Jenkins and Bamboo
- Understanding of test automation, including Robot and Selenium, and different test scenarios
- Understanding of version control techniques using Git, GitHub, and GitLab
- Будет плюсом: Kafka streaming and batch processing, distributed and parallel computing solutions such as Spark, Flink, or Dask
Условия
- The role is based in Finland and Poland
- Hybrid working model
- Only candidates in Finland: A security clearance will be performed for the person selected for this position