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 collaborative tribe of approximately 100 colleagues located in three different countries.

We are currently seeking a data engineer for our Transaction Analysis and Models squad. If you are enthusiastic about data and possess a strong foundation in engineering principles, we be excited to connect with you. This role is ideal for a proactive problem solver, equipped with a sharp eye for detail and a deep understanding of data structures and software architecture. As a data engineer, you will be key in driving our success forward.

Join our diverse and diverse 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:

Develop and oversee data integration processes, ETL workflows, and data pipelines, handling large data streams
Construct data models and structured data solutions to ensure high standards of data quality, consistency, and reliability
Streamline the performance of data pipelines for efficient data retrieval and processing
Integrate raw information from diverse sources, demonstrating your ability to work with various data sets
Collaborate with other data professionals to establish robust data governance, validation, and development practices
Stay updated with the latest advancements in data engineering to ensure maximum efficiency and software quality
Participate actively in a self-organizing Scrum team, exhibiting your agile mindset
Recognize the importance of comprehensive documentation and contribute when necessary to promote knowledge sharing within the team

About you:

You have a minimum of 3 years of experience as a data engineer, data scientist, or in a similar role
You have a good understanding of the big data ecosystem, including cloud technologies
You have solid Python skills, along with familiarity with PySpark, Hadoop, Hive, Airflow, and SQL. Experience with AWS technologies will be a bonus
You have experience optimizing the performance of Spark processes
You possess keen analytical thinking and attention to detail. Your comprehensive communication and interpersonal skills facilitate smooth collaboration with team members and stakeholders
You carry an agile mindset, open to adjustments based on new requirements, information, or evolving team needs
You have upper-intermediate 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 3360 EUR to 5040 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.