Senior Data Engineer in Financial Crime Lifecycle Management Tribe

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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 in 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 Bachelor’s or Master’s 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.