Master Data Infrastructure Architect

10 hours ago


Copenhagen, Copenhagen, Denmark The HubDanske Bank Full time

At The Hub, a leading financial institution in the fintech industry, we are committed to delivering innovative solutions that empower our clients to make informed decisions. We are seeking a skilled colleague to help us enhance and streamline our data infrastructure, which is crucial for supporting our mission.

Role Overview

We are looking for a Senior Data Engineer/Lead who will drive the architecture, development, and optimization of our data infrastructure, enabling real-time assessments of wealth, income, and affordability. As a senior-level professional, you will shape and build data pipelines that support our data-driven models and algorithms, ensuring efficient data flow across the organization.

Key Responsibilities
  • Architect and Maintain Scalable Data Pipelines: Design and implement high-performance data pipelines and ETL processes, ensuring data integrity and reliability.
  • Design and Optimize Data Lakehouse Solutions: Create data lakehouse solutions that support advanced business intelligence and machine learning models, empowering data-driven decision-making.
  • Collaborate with Cross-Functional Teams: Work closely with data scientists and cross-functional teams to transform data requirements into high-quality data engineering solutions, driving collaboration and knowledge sharing.
  • Implement Data Quality Checks: Develop and implement data quality checks and monitoring for accuracy, completeness, and reliability in analysis and model development.
  • Ensure Data Governance and Compliance: Ensure data governance and compliance with industry standards and regulations for security, privacy, and data protection, upholding the highest standards of data management.
Preferred Qualifications
  • Data Engineering Expertise: 5+ years of experience in data engineering, with a focus on big data technologies and cloud platforms like Azure.
  • Technical Skills: Proficiency in PySpark, Python, SQL, and data modeling, with hands-on experience in designing and optimizing ETL processes.
  • Big Data Technologies: Familiarity with DataBricks and other big data technologies such as Spark, Hadoop, or Kafka, is advantageous.
  • Data Governance Solutions: Strong knowledge of data lakehouse concepts and data governance solutions such as unity catalog.
  • Problem-Solving Skills: Excellent problem-solving skills and a collaborative approach.
  • Financial Industry Experience: Understanding of financial data or experience within the fintech industry is a plus.


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