Senior Data Engineer: AI Feature Pipelines (Hybrid)

Nordea

Helsinki

Hybrid

EUR 70,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Hybrid working model

Professional growth

Job summary

Nordea is seeking a Senior Data Engineer for its Feature Engineering team in Helsinki, Finland. You will transform big data into meaningful features to power ML models aimed at detecting financial crime, contributing to safety for customers, Nordea, and society.

You will design scalable pipelines, leverage AWS services, collaborate with data scientists, and uphold data governance while communicating results clearly. This hybrid role offers growth within a Nordic bank.

Qualifications

5+ years of experience creating and optimizing data pipelines and processing large data sets.
Experience with AWS and services: Glue, S3, Athena, Step Functions and Event Bridge.
Proficiency in Python, PySpark and SQL.
A degree in data engineering, computer science or related field.
Self-driven team player with curious mindset.
Ability to communicate clearly on complex topics.
Fluency in English.

Responsibilities

Design, build, and optimize scalable data pipelines handling large volumes of data.
Utilize AWS technologies to create and maintain efficient data transformation workflows.
Work closely with data scientists, platform and data specialists.
Ensure the solutions meet data quality and governance standards.
Document and communicate the results of your efforts.