Data Engineer for Impairment and Stress Test Analytics

AWS Data Engineer ETL Python Risk SQL

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We believe taking risks is crucial in banking, and we’re committed to changing how we handle them. This is your opportunity to make a real impact on your personal and professional journey. Risk & Compliance Tribe brings together business and IT professionals into cross-functional squads and enables us to work in a truly agile organisation. Each of these squads are self-organized teams empowering its employees to take their own decisions while working on the end-to-end delivery of products and services.

As a Data Engineer, you will join the high-impact Impairment Squad within the Risk Tribe, where you will use your technical skills to design and build data solutions. This squad ensures accurate and timely reporting of financial losses on loans, manages IT systems, handles data, produces standard reports, and shares information about loan risks with external parties. While working on innovative solutions to business problems, you will also have the opportunity to gain a deep understanding of Danske Bank’s business model.

Additionally, you will be part of the Data Engineers chapter, a community of highly skilled engineers who share your passion for data and technology. The chapter promotes continuous learning, knowledge sharing, and ensures best practices are spread across the tribe and organisation.

You will:

Be designing, developing and implementing end-to-end data solutions, focusing on both ETL and Mart levels
Understand how data is extracted, transformed and loaded for BI purposes, how it influences decision modelling and the overall risk management
Drive the optimization and automatization of the existing flows and processes in the systems
In collaboration with other Data Engineers in the chapter, you will build a solution for reliable, robust and easily accessible risk data repository
Consult other engineers, data scientists and analysts from other areas in the bank on risk data related questions
Be a part of agile organization driving the transformation and improving the ways we do Risk management in the bank

About you:

Minimum of 3 years of experience as a Data Engineer, with a strong understanding of ETL processes and data modelling
Extensive hands-on experience with SQL, including T-SQL/PL-SQL
Advanced proficiency in Python/Pyspark for data engineering tasks
Proven experience in working with Cloud technologies (preferably AWS), managing Infrastructure using IaC tools, and implementing CI/CD pipelines
Ability to see the broader picture while effectively understanding detailed data usage, dependencies, and relationships
Advanced written and verbal communication skills in English, with the ability to clearly explain IT concepts to non-technical colleagues
Academic background in Computer Sciences, Statistics, Physics or Mathematics
Genuine interest in the risk area

We offer:

Monthly salary range from 3360 EUR to 5040 EUR gross (based on your competencies relevant for the job).

Additionally, each Danske Bank employee receives employee benefits package which includes:

Growth opportunities: professional & supportive team, e-learnings, numerous development programs; (incl. professional certificates); 100+ professions for internal mobility opportunities.
Health & Well-being: a diverse, inclusive, work & life balance work environment; additional health insurance; mental well-being practices; partial psychologist counselling compensation; silence and sleep zones at the office; game rooms.
Hybrid working conditions: Work from home up to two days a week; home office budget (after the probation period); modern Danske Campus workplace developed with anthropologist for the best employee experience.
Additional days of leave: for rest, health, volunteering, exams in higher education institutions, and other important activities. Moreover, for seniority with Danske Bank.
Monetary compensation package: accidents & critical diseases insurance; financial support in case of unfortunate events, travel insurance; IIIrd Pillar Pension Fund contribution.