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Do you have a passion for data and data science? And do you take pride in your data assets and the data-driven decisions and insights they generate? Then come and join our team of Data Engineers and Data Scientists in the SuperAI Centre of Excellence at Danske Bank!
For 150 years, Danske Bank has strived to be a driver of growth and development in society. During this time, the Bank has amassed experience and huge volumes of data that has and can be connected to open a treasure trove of information with societal impact.
As a team, we assist in uncovering and preventing money laundering and other financial crimes, provide credit risk metrics that ensure Danske Bank has a real-time, data-driven understanding of the risks it takes on, and conduct academic research to further data efforts within the financial sector.
Our Centre of Excellence is a team of more than 40 people that works with other teams across the Bank to understand the data value chain. This enables us to master the end-to-end journey of our big data as well as our modelling and analytic products. As a Chief Data Engineer in SuperAI, you will be working on the top priority project, which introduces a remediation approach related to Banks debt collection and, hence, has a massive impact on Danskes risk management.
Depending on your experience and knowledge, we may offer you different seniority of the role.
You will:
- Take ownership of data engineering topics in the project and support other team members to deliver the teams scope and quality
- Develop sustainable, efficient, and scalable data pipelines for both batch and real-time that meet best practices and are always monitored
- 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.)
- Obtain relevant business and system knowledge to efficiently covert requirements to technical design documentation and conceptual data modelling
- Work with developing a good understanding of the Banks data to take proactive action on data abnormalities and monitoring cases, as well as user misunderstanding of exposed data
- Optimize data delivery, automate manual processes, and improve data quality
About you:
- Higher education in computer science, engineering, mathematics, physics, or similar
- 5+ years of experience as a Data Engineer or in a Software engineering role with a focus on data
- Advanced skills in Python, SQL, Spark, and C# (optional)
- Experience in building and optimizing data pipelines, architectures, and datasets
- Upper-Intermediate English skills, both spoken and written
- Know the stack of data engineering tools and are comfortable exploring and using new technologies and methods to find the best fit
- You are hands-on with git and coding best practices and have knowledge and interest in machine learning
So, if you are excited about this role but your previous 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.
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; 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
- Third pillar pension fund
- Free parking & charging ports - cars, bicycles, e-scooters
Vietovė
- Vilnius, Vilniaus apskritis, Lietuva
Laikas
- Visa darbo diena
Kalbos
- Anglų
- Lietuvių
Chief Data Engineer in SuperAI
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.