Data Engineering in Finance Tribe

Job Description Join us in our quest to provide fast & accurate financial information to investors, regulators, and internal decision-makers, as well as optimizing the management of financial resources. Your expertise in Python programming and data engineering will be instrumental in building scheduling platform on AWS, creating data transformations, monitoring and reconciliation jobs in Python. As a Data Engineer, you will be a part of our innovative team working on the Customer Profitability applications. You will be helping the team to build a new AWS-based platform. You will ensure a smooth migration of ETL, data monitoring and reporting scripts from legacy setup to Python language in AWS native environment. You will collaborate with a self-driven cross-functional agile squad including Analysts and Engineers. We assure you plenty of room to grow using a modern technology stack and AWS Cloud services. Finance Tribe ensures Danske Bank delivers on its financial potential, benefiting customers, colleagues, society, and investors by building a solid bank financially. We make sure this is done by efficiently steering Danske Bank’s finances. We have a variety of initiatives, delivering on our goals to provide fast & accurate financial information to investors, regulators, and internal decision-makers, as well as optimizing the management of financial resources. You Will : Design, build, and maintain ETLs and infrastructure required for data processing, analysis, and integration across various systems.
Develop and maintain CI/CD pipelines using IaaS and Terraform
Ensure data integrity and quality by implementing data validation and cleansing processes.
Utilize AWS managed services (e.g., AWS Glue, AWS databases) to optimize data processes
Work in an agile & collaborative manner within internationally distributed squad
Working closely with other developers to ensure development is aligned to development guidelines and best practices.
About You : 1+ years of experience as a Data Engineer with strong knowledge of ETL processes, SQL, relational databases and data modelling.
Proven experience with AWS data services.
Experience with CI/CD, IaaS and Terraform.
Proficiency in at least one ETL-suitable programming language, preferably Python.
Good understanding of the development lifecycle and willingness to learn new tools, languages and processes.
Analytical mindset with the ability to turn problems into code-based solutions.
Strong communication and collaboration skills.
Upper-intermediate English and a bachelor’s degree or higher in Data Engineering, Data Science or a related field.
We offer: Monthly salary range from 3040 EUR to 4560 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.
See all the benefits HERE. Your job function (position) in the job contract will be Data Engineering. If you're interested in this role and joining my team, feel free to