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Are you passionate about matching IT architecture to business needs and building platform solutions for 100+ data science users developing machine learning models? At the same time, enjoy taking a practical hand in delivering products?
Join our full-stack team at Danske Bank as we develop a cutting-edge model platform for credit risk assessment. Our work influences critical decisions, from individual credit lending to capital allocation for entire portfolios. You will collaborate closely with teams redeveloping these vital models, all within a dynamic department that oversees and operates the banks existing IT model infrastructure. This positions you at a hub of expertise and strategic prioritisation, setting you up for success.
Depending on your experience and knowledge, we may offer you a different seniority for the role.
Danske Bank supports a high degree of workplace flexibility (our team is currently using a hybrid working model, where we work at least 3 days a week in the office.).
You will:
- Help design, build and maintain elements of the Data Science and Machine Learning Platform
- In collaboration, design platform workflows for Data Engineers of platform tenants developing their Machine Learning Models within the platform
- In collaboration, design workflows ingesting data from on-prem sources, while building and maintaining the ingestion pipelines with other Data Engineers
About you:
- 5+ years of Data Engineering experience. Experience working with AWS
- Exposure to Data Engineering with Machine Learning in mind to support both model development and execution, ideally through implementation of purpose specific Feature Stores
- Having fundamental Data Lake / Data Lakehouse knowledge to design and build a data solution supporting Machine Learning Feature Stores as well as implementing individual pipelines
- Excellent understanding of platform engineering to set-up and maintain Data Lake and Model Execution Platform
- You will be part of a platform team including, data engineers, DevOps, cloud engineers, platform engineers/architects as well as regular contact with data engineers, MLOps and Data Scientists from other teams
- A collaborative mindset and contributing to the general platform tasks are required as the work wont be strictly Data Engineering tasks
- Main technologies/methods: SQL, NoSQL, Apache Spark, PySpark, Python, Pandas Parquet, Hadoop, CI/CD (Azure DevOps), Airflow/data wrangling, Iceberg/Hulu/Delta Table, AWS Sagemaker, AWS Lake Formation, Amazon Athena, Amazon EMR or AWS Glue, IaC (Terraform)
- Upper-Intermediate English skills
We offer
Monthly salary range from 4280 EUR to 6420 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
- 100+ partners' offers & discounts
- Third pillar pension fund
Location
- Vilnius, Vilniaus apskritis, Lithuania
Time of work
- Full-time
Languages
- English
- Lithuanian
Senior Data Engineer for Risk and Compliance Tribe
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.