September 19, 2023
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Copenhagen, Capital Region, Denmark, Denmark
September 19, 2023
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Job Description
Do you have a passion for data? Do you have a background and experience in data engineering? Do you take pride in your data assets and the data-driven decisions and insights they generate? Then come join our team of Data Engineers in the SuperAI Centre of Excellence in Danske Bank!
Data Engineer to join SuperAI Centre of Excellence
We are on a growth journey and looking for colleagues to join us in our mission to build data science products to uncover and harness the value in our data and enhance decision making at Danske Bank. As a Centre of Excellence, we deliver a positive societal impact with the help of data science; uncovering and preventing money laundering and other financial crimes, ensuring Danske Bank has a real-time data-driven understanding of the risks it takes on, and supporting academic research to further data science efforts within the financial sector.
Our department of 40+ employees masters the entire model life cycle, from model design, to developing robust solutions in Python using best practices from software engineering, to maintenance and monitoring to ensure our models remain relevant and performant. To enable this, SuperAI’s data engineering chapter stores, curates and exposes big data. This is done in collaboration with other teams across the bank to understand the banks data value chain and the end-to-end journey of our big data.
We strive to build a culture that is open and collaborative, and where team members come to work to have fun with colleagues while delivering impactful solutions for Danske Bank and society. You will be joining an international team, located between Copenhagen and Vilnius. Therefore, solid English skills are a necessity for this role.
Excellent problem solver with a mind for sustainable and efficient solutions
We are seeking a colleague to contribute with their own knowledge and unique set of tools, a solid background in data engineering, understanding of data science and machine learning methodologies, as well as experience of implementing and deploying models using software engineering best practices.
In this role, you will:
Interested?
If you have any questions, you are welcome to contact Andrew Wade at wade@danskebank.dk.
We will be contacting candidates on an on-going basis so please apply today rather than tomorrow. We are waiting for you!
About Us
Danske Bank is a Nordic bank with bridges to the world around us. For 150 years, we have supported people and businesses in releasing their potential. A career with us is an opportunity to join a community of 22,000 colleagues in a culture where we are committed to Teaming Up, Owning It and Being Open. Together, we are on a journey to transform Danske Bank into a better bank. For our customers, our employees and the societies around us.
Do you have a passion for data? Do you have a background and experience in data engineering? Do you take pride in your data assets and the data-driven decisions and insights they generate? Then come join our team of Data Engineers in the SuperAI Centre of Excellence in Danske Bank!
Data Engineer to join SuperAI Centre of Excellence
We are on a growth journey and looking for colleagues to join us in our mission to build data science products to uncover and harness the value in our data and enhance decision making at Danske Bank. As a Centre of Excellence, we deliver a positive societal impact with the help of data science; uncovering and preventing money laundering and other financial crimes, ensuring Danske Bank has a real-time data-driven understanding of the risks it takes on, and supporting academic research to further data science efforts within the financial sector.
Our department of 40+ employees masters the entire model life cycle, from model design, to developing robust solutions in Python using best practices from software engineering, to maintenance and monitoring to ensure our models remain relevant and performant. To enable this, SuperAI’s data engineering chapter stores, curates and exposes big data. This is done in collaboration with other teams across the bank to understand the banks data value chain and the end-to-end journey of our big data.
We strive to build a culture that is open and collaborative, and where team members come to work to have fun with colleagues while delivering impactful solutions for Danske Bank and society. You will be joining an international team, located between Copenhagen and Vilnius. Therefore, solid English skills are a necessity for this role.
Excellent problem solver with a mind for sustainable and efficient solutions
We are seeking a colleague to contribute with their own knowledge and unique set of tools, a solid background in data engineering, understanding of data science and machine learning methodologies, as well as experience of implementing and deploying models using software engineering best practices.
In this role, you will:
- Develop sustainable, efficient and scalable data pipeline for both batch and real-time that meet best practices and are always monitored
- Be a point of reference for Data Engineering topics in projects and collaborate in project tasks related to data to assist in developing production-ready, scalable models and applications
- Integrate, explore and aggregate the data. This includes data cleaning, data massage, error removal and schema change
- Develop a good understanding of data lake architecture and the banks data storage (Hadoop, SQL, cloud, etc)
- Develop a good understanding of the banks data to take proactive action on data abnormalities and monitoring cases, as well as, user miss-understanding of exposed data
- Co-develop and document standards for the best practices and processes required as part of data engineering
- Populate and maintain a feature store and data dashboards
- At least 3 years of experience in SQL, Spark, or Python (C# would be beneficial)
- Proven expertise in end-to-end data pipelines
- Knowledge on data engineering tools stacks and comfortable exploring and using new technologies and methods to find the best fit
- Have an interest and experience with Data Science and ML
- Curious and tenacious problem solving, while keeping a result orientated holistic view
- Establish sustainable solutions with low technical debt and understand when to automate or simplify
- Take ownership while being mindful of stakeholders and maintaining clear communication
- Higher education within mathematics, engineering, computer science, physics or similar
Interested?
If you have any questions, you are welcome to contact Andrew Wade at wade@danskebank.dk.
We will be contacting candidates on an on-going basis so please apply today rather than tomorrow. We are waiting for you!
About Us
Danske Bank is a Nordic bank with bridges to the world around us. For 150 years, we have supported people and businesses in releasing their potential. A career with us is an opportunity to join a community of 22,000 colleagues in a culture where we are committed to Teaming Up, Owning It and Being Open. Together, we are on a journey to transform Danske Bank into a better bank. For our customers, our employees and the societies around us.
