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Welcome to the Financial Crime Lifecycle Management Tribe, where our mission is to provide effective financial crime prevention services for both our customers and employees. We manage processes and events in coherent customer lifecycles through a shared data foundation, efficient process solutions, and human-centered design. We are a dedicated Tribe of approximately 100 colleagues located in 3 different countries.
We are currently seeking a Senior Data Engineer for our Transaction Analysis and Models squad. We are looking for someone who is not only enthusiastic about data but also has a strong foundation in engineering principles. The ideal candidate will be a proactive problem solver, always ready to solve complex engineering challenges. With a sharp eye for detail and a profound understanding of data structures and software architecture, you will play an instrumental role in propelling our success forward.
Join our diverse and innovative team as we seek a candidate who sees data not just as raw material but as a complex engineering challenge, full of opportunities waiting to be discovered.
You will:
- Build and manage data integration processes, ETL workflows, and data pipelines to handle large data streams
- Create data models and structured data solutions to maintain high standards of data quality, consistency, and reliability
- Ensure optimal performance of data pipelines for streamlined data retrieval and processing
- Integrate raw information from various sources, demonstrating your ability to work with diverse data sets
- Work closely with other data professionals to form robust data governance, validation, and development practices
- Stay updated with the latest technological advancements in data engineering to ensure maximum efficiency and software quality
- Engage actively in a self-organizing Scrum team, exhibiting your agile mindset.
- Recognize the importance of comprehensive documentation and contribute when necessary to foster knowledge sharing within the team
About you:
- You have a minimum of 5 years of experience as a Data Engineer, Data Scientist, or a similar role
- You are familiar with the Big Data Ecosystem, including Cloud technologies
- You have expert-level Python skills, along with intermediate proficiency in PySpark, Hadoop, Hive, Airflow, and SQL. Experience with AWS technologies will be an added advantage
- You have hands-on experience in optimizing the performance of Spark processes
- You display keen analytical thinking and attention to detail. Your proven communication and interpersonal skills facilitate smooth collaboration with squad members and stakeholders
- You carry an agile mindset, open to adjustments based on new requirements, information, or evolving team needs
- You have advanced English language skills
- You have a Bachelors or Masters degree in a STEM-related field or equivalent
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: 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
- Canteen services and free fruits
- 20+ community hobby clubs
- 24/7 gym services and group trainings
Location
- Vilnius, Vilniaus apskritis, Lithuania
Time of work
- Full-time
Languages
- English
- Lithuanian
Senior Data Engineer in Financial Crime Lifecycle Management 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.