- Details
- Highlights
- Company
Area
Risk is at the core of everything we do as a bank! Successful Risk Management is not possible without great data infrastructure and sufficient pipelines processing billions of rows of data. We as Data Engineers in Risk Tribe ensure end-to-end processes of the data lifecycle while always thinking about innovative ways to improve our data warehouse setup.
Currently, Risk Tribe is on the edge of shifting over from an on-prem data warehouse and moving over to the Public Cloud. With Turn to New Tech initiative, we are innovating and transforming the way we work with data, especially in IRB and Compliance areas. This brings great opportunities to you as Data Engineer to be part of the journey and accelerate the adoption of modern technologies and engineering practices.
As a Data Engineer, you will be joining one of the high-impact squads within the Risk Tribe and utilizing your technical skills to design and build data solutions. Besides being part of the squad, you will also belong to the Data Engineers chapter, a community of highly skilled engineers who share the same passion as you for data and technology. The Chapter drives continuous learning, and knowledge sharing and ensures that best practices are spread across the whole tribe and organization.
Depending on your experience and knowledge, we may offer you different seniority in the role.
You will:
- You will be designing, developing and implementing end-to-end data solutions while collaborating with business stakeholders and end-users
- You will create automated, orchestrated, scalable data pipelines to populate tables at the agreed frequency to enable faster time to market and adaptation to organizational changes
- Together with your colleagues you will drive cloud-based infrastructure set-up and modernize the ways how we are extracting, transforming and loading the data
- In collaboration with other Data Engineers in the chapter, you will define best practices while also improving your own competencies and data engineering tool stack
- You will consult other engineers, data scientists and analysts from other areas in the bank on risk data-related questions
- You will be a part of a cross-functional squad driving the transformation and improving the ways we do Risk management in the bank
About you:
We expect you:
- Have a proven track record in development and IT project lifecycle knowledge gained by working in data warehousing or software projects
- Have experience in working with ETL tools like IBM Info sphere Data Stage, Informatica, Alteryx, AWS Glue etc. to develop data pipelines ingesting data from structured / semi-structured data sources
- Have comprehensive hands-on experience with SQL and relational databases
- Can see a wider picture but also dive into details to understand particular data usage, dependencies and relations
- Are Proficient in programming with Python or any other widely-known programming language
- Upper-Intermediate English language skills
- Preferably to have an understanding of AWS technologies like S3, EMR, Glue, Redshift, Lambda, Kinesis etc.
- Have an academic background in Computer Science, Statistics or Mathematics
We offer
Monthly salary range from 3280 EUR to 4920 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; health insurance from the first day of employment; mental well-being practices; partial psychologist counselling compensation; silence and sleep zones at the office; game rooms.
- Hybrid working conditions: 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 from the first day of employment
- 100+ partners' offers & discounts
- Third pillar pension fund
Location
- Vilnius, Vilniaus apskritis, Lithuania
Time of work
- Full-time
Languages
- English
- Lithuanian
Data Engineer for Risk 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.