Data Integration & Systems Engineer — Martech & Sales Tech

Nordea Bank Norge ASA; Helsinki; On-site; EUR 70,000 - 110,000; Full time

Job summary

Nordea Bank Norge ASA in Helsinki is seeking a Data Integration & System Engineer to design, build and operate scalable data pipelines across on-prem and cloud environments. The role focuses on migration to GCP and Snowflake, enabling real-time decisioning with NBA capabilities and AI-assisted development tools.

You will collaborate with data scientists, decisioning SMEs, architects and product teams to align data flows with business needs while ensuring data quality and governance.

Qualifications

• Experience migrating Hadoop/Cloudera to cloud and building data pipelines.
• Hands-on with BigQuery and cloud-based data pipelines on GCP.
• Experience transitioning from on-prem to cloud (AWS/Snowflake/GCP).
• Proven ability to build scalable batch and real-time data flows.
• Strong SQL, data modeling and data quality governance.
• Familiar with CI/CD, version control and testing practices.

Responsibilities

• Drive migration and modernization of data from Hadoop/Cloudera to GCP/Snowflake.
• Design and implement end-to-end data pipelines across on-prem and cloud.
• Build and maintain batch and near real-time data flows for decisioning.
• Ensure reliable, scalable data delivery for analytics use cases.
• Implement data integration with Pega CDH / Infinity.
• Maintain data quality, lineage and governance with regulatory compliance.

Skills

Hadoop/Cloudera

GCP

Snowflake

Spark/Scala

SQL

Data modeling

Data integration

CI/CD

Git

Agile

Distributed systems

Data quality

Data governance

AI-assisted development

Tools

Confluence

JIRA

GitHub Copilot

Job description

Nordea Bank Norge ASA in Helsinki is seeking a Data Integration & System Engineer to design, build and operate scalable data pipelines across on-prem and cloud environments. The role focuses on migration to GCP and Snowflake, enabling real-time decisioning with NBA capabilities and AI-assisted development tools.

You will collaborate with data scientists, decisioning SMEs, architects and product teams to align data flows with business needs while ensuring data quality and governance.