Data Engineer for AML Detection Squad

Data Databricks DataEngineering LT Python SQL

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We are looking for a Data Engineer with a strong agile mindset who is focused on developing analytical models to detect financial crime, with a primary focus on Anti-Money Laundering (AML) in one of Denmark’s largest companies.

We are an agile team of highly skilled IT professionals collaborating closely in an informal atmosphere across Lithuania, Denmark and India.

Our team is implementing detection models for complex market products and migrating to AWS. We are seeking a skilled data engineer with experience in Python, SQL or Spark.

You will:

Design and develop data lake solutions using Python and Spark technologies, ensuring data integrity, performance and scalability
Ensure data quality by implementing strategies to maintain data quality, lineage and reconciliation
Collaborate effectively with data engineers and architects to align solutions with strategic objectives
Apply agile methodologies to enhance flexibility and responsiveness
Understand, create and apply technical documentation to support solutions development
Improve development processes by identifying and implementing optimisations
Validate data transformations and quality through unit tests, data quality checks and ETL testing to ensure accurate extraction, transformation and loading

About you:

Proficiency in Python and SQL to build scalable data pipelines, ETL workflows and API integrations
Experience with Apache Airflow
Practical experience with version control and CI/CD platforms such as Azure DevOps or GitHub, and exposure to cloud platforms like AWS, GCP, Fabric or Azure and their data services
Effective interpersonal skills, strong teamwork abilities and upper-intermediate English proficiency in both written and verbal communication
Strong grasp of the development lifecycle with a willingness to learn new programming languages, tools and processes, showing high personal responsibility and commitment to team goals
Experience with Spark for building scalable data pipelines, ETL workflows and API integrations, Jupyter Notebook and Databricks would be beneficial

We offer:

Monthly salary range from 3440 EUR to 5160 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: Work from home up to two days a week; 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.