Job ID: 3147
We are looking for a Senior Data Engineer to join our Feature Engineering team. You will play a key role in transforming big and complex data into meaningful features that enables machine learning model to predict patterns to fight against financial crime.
About our team
Meet the Data and Platform team. Our role is to build robust data and platform foundation to enable threat detection capabilities, keeping our customers, Nordea and society safe. Our team is about 30 people as a part of the group financial crime prevention (GFCP) unit that provides financial crime prevention services to all of the bank.
Collaboration. Ownership. Passion. Courage. These are the values that guide us in how we work and how we make decisions – and that we imagine you share with us.
What you’ll be doing:
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
Who are you
We believe that you're ambitious and enjoy bringing ideas, exploring their potential, and presenting the results. You're passionate about designing and building data pipelines to produce features for machine learning models to identify complex financial crimes, ensuring both the bank’s and society's safety.
Your experience and background:
At least 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