nordeabank

Senior Data Engineer - Feature Engineering for AI Models

nordeabank · Helsinki, Uusimaa, Finland

Banking · 10,001+ employees

May 26
Senior (5-10 yrs) Full-time Finland
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About the role

Design and build efficient data pipelines to enable machine learning-based threat detection for financial crime prevention. Collaborate with data scientists and specialists to ensure data quality and governance standards are met.

What they look for

Data engineering Python PySpark SQL AWS Glue S3 Athena Sagemaker Feature engineering Machine learning Data pipelines Data governance Financial crime prevention Cloud computing

Requirements

Requires at least 5 years of experience in data engineering and proficiency in Python, PySpark, and SQL. Candidates must have a degree in computer science or a related field and experience with AWS services.

Benefits

Hybrid working model Professional development opportunities Inclusive workplace

Full description

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 AI & Machine Learning team. Our role is to improve how we detect and investigate financial crime with the help of AI and machine learning, to keep our customers, Nordea and society safe. Our team is about 25 people working out of Stockholm, Helsinki and Copenhagen 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 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

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, 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

What we offer

People come here when they want to get somewhere. For some, it’s to take their career to the next level. For others, it’s to break new ground within their area of expertise – in other words, with us, you will always move forward.

A culture that fosters performance and growth in one of the largest Nordic banks, offering various opportunities to evolve, develop and learn from brilliant colleagues with diverse backgrounds in a vibrant working environment.

Hybrid working model – we believe in the value of bringing people together and at the same time we embrace the freedom of flexibility.

Diversity and inclusion are a natural part of our daily work. We know that an inclusive workplace is a sustainable one. We genuinely believe that our diverse backgrounds, experiences, characteristics and traits make us stronger together. Every day we strive to find new ways to improve diversity and inclusion within our community e.g. we have signed the European Diversity Charters in the countries where we operate to show our commitment and engage with others to continue learning and improving.

If this sounds like you, get in touch!

Next steps

Submit your application as soon as possbile as we start with interviews on ongoing basis. For more information, feel free to reach out to Satu Suolinna (satu.suolinna@nordea.com), Head of Feature Engineering in FCIIA.

We enable dreams and aspirations for a greater good.

We build relationships. We add a personal touch to everything we do – when advising our customers, collaborating with colleagues, and meeting our potential candidates.

We learn and develop. We take pride in being experts and thinking ahead. We use our expertise to meet our customers’ needs, from the simplest to the most complex. We bring a growth mindset to our work that enables us to focus on a broader perspective in our daily challenges.

We lead change. We are responsible and aware of the impact of our decisions, both for our customers and for our local and global communities. Mindful of our responsibility towards current and future generations, we have made sustainability an integrated part of our business strategy.

We are Nordea. We have a 200-year history of supporting and growing the Nordic economies and our values are deeply rooted in these open, progressive and collaborative societies. As one of the biggest employers in the Nordics, Poland and Estonia, you have excellent opportunities to evolve, develop and move forward with us.

A Background Check will be performed for the person selected for this position, including internal applicants.

Only for candidates in Finland: A security clearance will be performed for the person selected for this position.

Only for candidates in Sweden: for union information, please contact Finansförbundet at finansforbundet@nordea.com or SACO at SacoNordea@nordea.com.