Lead Data Platform Engineer for AI & Analytics

Novo Nordisk A/S

Pederstrup

On-site

DKK 742,600 - 1,091,600

Full time

14 days+

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Job summary

Novo Nordisk A/S is seeking a Lead Data Engineer in the Commercial AI & Data department to design, develop, and implement data foundations and assets that enable AI, ML, and analytics across the value chain.

You will lead data pipelines, govern data quality, and mentor engineers while collaborating with data scientists, analysts, and product teams to drive scalable solutions and robust data platforms.

Qualifications

  • Master’s degree in computer science, Statistics, Engineering, or a related field.
  • 8+ years of experience in data engineering, data architecture, and data product development with large-scale initiatives.
  • In-depth knowledge of cloud and data platforms: Azure, Databricks, AWS, and Snowflake.
  • Hands-on programming in Python, SQL, and Spark.
  • Deep expertise in ETL/ELT design, data modeling, data warehousing/lake, and streaming technologies like Kafka.

Responsibilities

  • Design enterprise-scale data architectures and data pipelines.
  • Define data models, storage strategies, and integration patterns.
  • Establish standards for data ingestion, transformation, and consumption.
  • Evaluate and recommend technologies for data solution development.
  • Lead the development of robust ETL/ELT pipelines.
  • Build and optimize batch and real-time data processing solutions.
  • Ensure high data quality, reliability, and performance.
  • Troubleshoot and resolve complex data engineering issues.
  • Conduct architecture reviews and code reviews.
  • Mentor and coach data engineers.
  • Establish engineering best practices and development standards.
  • Implement data governance frameworks and standards.
  • Ensure compliance with security, privacy, and regulatory requirements.
  • Define metadata management, lineage, and data cataloging strategies.
  • Drive master data and data quality initiatives.
  • Collaborate with business stakeholders, data scientists, analysts, and AI product teams.
  • Translate business requirements into scalable technical solutions.
  • Influence platform roadmaps and prioritization decisions.
  • Communicate technical concepts to non-technical audiences.
  • Build data foundations that support AI, ML, and advanced analytics.
  • Develop feature stores and data products for AI use cases.
  • Enable self-service analytics capabilities.
  • Ensure data availability and reliability for model development and deployment.
  • Optimize data processing performance and costs.
  • Review platform health, reliability, and scalability.
  • Implement observability, monitoring, and alerting solutions.
  • Lead delivery of large-scale data engineering projects.
  • Manage technical risks and dependencies.
  • Coordinate work across multiple teams.
  • Ensure projects are delivered with quality, within scope, and on schedule

Skills

8+ years data engineering
Data architecture
Data product development
Cloud platforms
Python
SQL
Spark
Git/CI/CD
Cross-functional collaboration
Data governance

Education

Master’s degree in computer science, Statistics, Engineering or related field

Tools

Azure
Databricks
AWS
Snowflake
Kafka

Job description

Novo Nordisk A/S is seeking a Lead Data Engineer in the Commercial AI & Data department to design, develop, and implement data foundations and assets that enable AI, ML, and analytics across the value chain.

You will lead data pipelines, govern data quality, and mentor engineers while collaborating with data scientists, analysts, and product teams to drive scalable solutions and robust data platforms.

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