Danske Bank A/S Lietuvos filialas
Danske Bank A/S Lietuvos filialas

Senior Data Engineer in Data Enablement team

4.280 - 6.420 €
Neatskaičius mokesčių
37 Peržiūros


Data & Analytics is one of the central enablers identified as a priority by Danske Bank’s Executive Leadership Team with significant mandate and support.

We invite you to be a part of the collaborative Global Insights department, an integral component of our Group Data and Analytics organization. Renowned as the Business Intelligence powerhouse, our core aspiration and strategic objective is to unlock value from cutting-edge data reporting and visualization solutions on a grand scale.

Our mission is to deliver impactful insights and advanced digital reporting solutions in a timely manner and using analytics to set new standards in the bank for how to use data. We’re the backbone for teams and organisational units across the Bank, providing crucial process performance analytics and managerial information.

Our department in the Data & Analytics function works with each of the businesses to enable the adoption of data and utilize analytics to enhance our products and services to our clients.

Join us in our journey to revolutionize the way we understand data. Together, we can take Danske Bank forward.

The workplace is located in new buildings in Vilnius. Danske Bank supports a high degree of workplace flexibility (we currently use a hybrid work model, where we work at least 3 days in the office).


  • Design and Develop: Design, construct, install, test, and maintain data management systems
  • Collect Data: Develop, construct, test, and maintain architectures such as databases and large-scale data processing systems
  • Process Data: Recommend and implement processes for data cleansing, data transformation, and data integration
  • Collaborate: Collaborate with BI-developers, data scientists and architects on several projects
  • Troubleshoot: Perform troubleshooting and resolve data-related issues
  • Optimize: Improve system performance by conducting tests, troubleshooting, and integrating new elements
  • Stay Updated: Keep up-to-date with the latest technology trends, and apply them to current and future solutions
  • Data Storage: Create and manage databases and processing systems that allow for the secure storage, querying, and utilization of data
  • Data Pipeline: Develop and manage data pipelines, ETL/ELT processes, and data workflow management
  • Data Warehousing: Build data warehouse systems for business intelligence, reporting, and data analysis
  • Data Security: Ensure systems meet industry practices and business requirements in terms of accuracy, security, and privacy


Solid and proven experience in:

  • Database Systems: Proficiency in SQL and familiarity with various relational and perhaps NoSQL databases
  • Data sourcing: good understanding and experience with sourcing data from API’s
  • ETL process: knowledge of ETL/ELT tools and processes
  • Cloud Platforms: Experience with cloud services such as AWS, Google Cloud, or Azure
  • Programming Skills: Proficiency in programming languages like Python, Java or Scala
  • Data Architecture and Pipelines: Ability to design and build data pipelines and frameworks for data collection, processing, and storage
  • Upper-Intermediate English skills

We offer:

We will ensure that exact salary offered for you will be based on your qualifications, competencies, professional experience and requirements for the corresponding job function (salary range from 4280 EUR to 6420 EUR gross EUR/monthly).

Your title in job contract will be IT Software Engineer (Data Engineer), Senior.

Gert H. N. Laursen


Remote work:


Working time:

Full time

Valid till:


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