Senior Data Engineer to Support Digital Channels and Savings Opportunities

15 hours ago


Stockholm, Stockholm, Sweden Nordea Bank Norge ASA Full time
Job Description

Stockholm, SE

Job ID:

Would you like to work with Digital Channels and Savings & Investment products inside the One Digital organisation? We are now looking for a Junior Data Engineer for One Digital, Stockholm.

About this Opportunity
Welcome to the Digital Wealth Engineering team. Our mission is to provide innovative Savings and Investments services for primarily private customers. We design and develop our products to enable retail customers to invest money into financial markets by buying stocks and other financial instruments as well as track the performance of created portfolios and manage them. In addition to that customers can create dedicated accounts for recurring savings and other savings-related needs and use Nordea's digital investment advisor Nora. Our product is exposed to clients via Nordea internet bank as well as via dedicated applications.
As a data engineer, you will work closely with our data teams in Stockholm and support the teams both from a development and operational point of view.

Key Responsibilities:

  • Designing and developing data-intensive applications and participating in machine learning development
  • Building analytics tools that utilize the data pipeline to provide actionable insights into user behavior
  • Utilizing Data Build Tool (DBT) for data transformation, modelling, and documentation, ensuring data quality, consistency, and reliability across the data infrastructure
  • Developing and implementing end-to-end data engineering solutions using a combination of Microsoft SSIS for ETL processes.
  • Designing and optimizing data pipelines to extract, transform, and load data from various sources into data warehouses, data lakes, or other storage systems
  • Building and maintaining data models using DBT to support advanced analytics, machine learning, and data visualization initiatives
  • Leveraging Python for data manipulation, analysis, and machine learning tasks, enhancing data processing capabilities and enabling advanced analytics
  • Troubleshooting and resolving data-related issues, performance bottlenecks, and scalability challenges to ensure the smooth operation of the data ecosystem


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