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Area
We believe taking risks is crucial in banking, and were 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 Senior Data Engineer, you will become a vital member of the Credit Data Solutions Squad within the Risk and Compliance Tribe. In this role, you will leverage your technical expertise to design and develop data solutions that are crucial for facilitating data-driven credit risk insights and reporting. The squad plays a pivotal role in managing and delivering data through our Data Warehouse, thereby supporting the organisations analytical and decision-making capabilities.
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 and knowledge sharing, ensuring best practices are disseminated across the tribe and organisation.
You will:
- Design, developing and implementing end-to-end data solution
- 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
- Collaborate 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:
- At least 5 years of experience as a Data Engineer or in a similar role, with a solid 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
- Familiarity with Cloud technologies, preferably AWS, and experience with infrastructure management using Infrastructure as Code (IaC) tools
- Experience with CI/CD pipelines
- Ability to see the broader picture while effectively understanding detailed data usage, dependencies, and relationships
- Strong written and verbal communication skills in English, with the ability to clearly explain IT concepts to non-technical colleagues
- Preferred academic background in Computer Science, Statistics, Physics, or Mathematics
- Genuine interest in the risk area
- Advanced English skills
We offer
Monthly salary range from 4560 EUR to 6840 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.
- Additional days of vacation
- Health insurance
- Free parking & charging ports - cars, bicycles, e-scooters
- Canteen services and free fruits
Vietovė
- Vilnius, Vilniaus apskritis, Lietuva
Laikas
- Visa darbo diena
Kalbos
- Anglų
- Lietuvių
Senior Data Engineer for Credit Data Solutions Squad
Consider us as “the engine of the bank” – while we do not provide banking services to customers in Lithuania, we are the brain and muscle behind many of Danske Bank’s services to our global customers. Our high-quality delivery and can-do approach led us to becoming a strategic site for Danske Bank, an international community of 22,000+ colleagues worldwide.
Danske Bank Lithuania is Danske Bank’s strategic unit, providing finance, IT and global business services to serve our customers worldwide. We are on a journey to push the banking boundaries and make constant improvements in how we operate. We aim to do this by combining the best of two worlds: the strengths of what Danske Bank has built over 150 years and the approach of start-ups to what we are going to create in the future.
We see diversity as our potential, and the cornerstone of our company’s success, that will ensure our continued competitiveness and innovative strength.
We try to create an inclusive workplace where differences are our strengths and where people feel valued and can realise their full capabilities.
Because of that, the critical focus point for us is to be able to recruit, develop and retain employees without attaching any specific labels to them.