Senior Data Engineer – Data Platform Tribe

Data DK engineering LT

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At Danske Bank, our Data Platform Tribe within Technology Services / Data & Functions specializes in delivering centralized enterprise reporting and analytics. We leverage Data Warehouse, Hadoop, Streaming and Cloud technologies across various banking domains.

The candidate will have the opportunity to architect and implement data solutions that drive business value while working alongside experienced professionals who are passionate about data engineering. Our team values continuous learning, knowledge sharing, and integrating new technologies to solve complex data issues.

Our focus is on building, maintaining, and monitoring data pipelines for both batch processing and real-time streaming, using technologies such as SQL, Python, PySpark, Kafka, Apache Airflow, Hadoop, AWS, Databricks.

Danske Bank supports a high degree of workplace flexibility (our team is currently using a hybrid working model, where we work at least 3 days a week in the office).

This role does not include a relocation allowance.

You will:

Design and Develop: Architect and implement robust data integration solutions and pipelines that connect multiple data sources and systems, ensuring efficient data flow throughout the organization
Data Pipeline Management: Build, maintain, and monitor complex data pipelines for both batch processing and real-time streaming
Data Quality: Implement data validation checks, data governance and security standards, monitoring systems, and automated testing frameworks to ensure data quality across all integration points
Collaboration: Work closely with cross-functional teams to understand requirements and deliver solutions that meet business needs
Optimization: Continuously improve data pipeline performance, scalability, and reliability by implementing best practices
Continuous Learning: Stay current with emerging technologies and methodologies in the data engineering space, evaluating and adopting new tools and approaches to enhance team capabilities

About you:

You are highly skilled Senior Data Engineer with 4+ years of experience in designing and implementing enterprise grade data integration solutions
Strong proficiency in Python/PySpark and SQL for complex data manipulation and developing scalable data processing applications
Practical experience and understanding of streaming architecture with real-time data and streaming services like Apache Kafka
Solid experience working with Hadoop ecosystem components (HDFS, Hive, MapReduce)
Practical experience and understanding of version control best practices with CI/CD platforms such as Azure DevOps and GitHub
Experience deploying and managing data workloads and data lakes in cloud environments and modern technologies like Databricks, AWS, Azure
Experience with data scheduling and workflow orchestration tools like Apache Airflow
Solid interpersonal, problem-solving, decision-making, and conflict resolution skills
Advanced English language skills

We offer:

Monthly salary range from 4560 EUR to 6840 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.