Senior Data Engineer - Feature Engineering for AI Models
Teknik, data och digitalt · Data, AI och analys · Data engineering · Maskininlärning · Datavetenskap
I korthet
Nordea is seeking a Senior Data Engineer to join their Feature Engineering team in Helsinki or Stockholm. This role focuses on building data pipelines and transforming data into features for AI models to combat financial crime, utilizing AWS technologies and languages like Python, PySpark, and SQL.
Ansvarsområden
- Design and build data pipelines to enable machine learning-based threat detection capabilities.
- 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.
Krav
- At least 5 years of experience creating and optimizing data pipelines and processing large data sets.
- Experience with AWS and services: Glue, S3, Athena, Sagemaker AI, 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.
Önskade kvalifikationer
- Ambitious and enjoy bringing ideas, exploring their potential, and presenting the results.
- Passionate about designing and building data pipelines to produce features for machine learning models to identify complex financial crimes.
Förmåner
- Hybrid working model.
- Opportunities to evolve, develop and learn from brilliant colleagues.
- Vibrant working environment.
- Commitment to diversity and inclusion.
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