- Skelbimas
- Atlygis/Miestas
- Apie įmonę
Area
We are on a growth journey and looking for colleagues to join us in our mission to build data science products to uncover and harness the value in our data and enhance decision-making at Danske Bank. As a Centre of Excellence, we deliver a positive societal impact with the help of data science, uncovering and preventing money laundering and other financial crimes, ensuring Danske Bank has a real-time data-driven understanding of the risks it takes on, and supporting academic research to further data science efforts within the financial sector.
Our department of 50+ employees masters the entire model life cycle, from model design to developing robust solutions in Python using best practices from software engineering to maintenance and monitoring to ensure our models remain relevant and performant. To enable this, Super AIs data engineering chapter stores, curates, and exposes big data. This is done in collaboration with other teams across the bank to understand the banks data value chain and the end-to-end journey of our big data.
We aim to build a culture that is open and collaborative, where team members come to work to have fun with colleagues while delivering impactful solutions for Danske Bank and society. You will be joining an international team located between Copenhagen and Vilnius. Therefore, solid English skills are a necessity for this role.
Dont meet every single requirement? At Danske Bank, we are committed to building a diverse, inclusive, and authentic workplace, so if you are excited about this role but your past experience doesnt align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Depending on your experience and knowledge, we may offer you different seniority of the role.
You will:
- Develop sustainable, efficient, and scalable data pipelines for both batch and real-time that meet best practices and are always monitored
- Be a point of reference for Data Engineering topics in projects and collaborate on project tasks related to data to assist in developing production-ready, scalable models and applications
- Integrate, explore, and aggregate the data. This includes data cleaning, data massage, error removal, and schema change
- Develop a good understanding of data lake architecture and the banks data storage (Hadoop, SQL, cloud, etc.)
- Develop a good understanding of the banks data to take proactive action on data abnormalities and monitoring cases, as well as user misunderstandings of exposed data
- Co-develop and document standards for the best practices and processes required as part of data engineering
About you:
- At least 5 years of experience in SQL, Spark, or Python
- Proven expertise in end-to-end data pipelines
- Knowledge of data engineering tool stacks and feeling comfortable exploring and using new technologies and methods to find the best fit
- Have an interest in and experience with Data Science and ML
- Curious and tenacious problem-solving while keeping a result-oriented holistic view
- Establish sustainable solutions with low technical debt and understand when to automate or simplify
- Take ownership while being mindful of stakeholders and maintaining clear communication
- Upper-Intermediate English language skills
- Higher education in mathematics, engineering, computer science, physics, or similar
We offer
Monthly salary range from 4880 EUR to 7320 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: 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
- Additional health insurance package
- Third pillar pension fund
- Free parking & charging ports - cars, bicycles, e-scooters
Vietovė
- Vilnius, Vilniaus apskritis, Lietuva
Laikas
- Visa darbo diena
Kalbos
- Anglų
- Lietuvių
Experienced Data Engineer in Super AI
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.