We're looking for an experienced Data Platform Engineer to help scale and continuously improve the NN Data Analytics Platform (NNDAP) and Data Lab (NNDL).

NNDAP provides a governed, compliant, and cost-effective Azure lakehouse foundation, with reusable components for data extraction, ingestion, harmonization, and quality. NNDL is a managed Databricks environment that supports non-IT users with built-in governance and automation for data experimentation and insight generation.

🎯 Your impact

• Build reusable software components that enable business units to create high-quality data systems and products.
• Design and implement code used by more than 110 data engineers across 10 teams and 15 countries.
• Help enable a data-driven organization by improving platform scalability, quality, and usability.

🛠️ Responsibilities

• Refine, build, test, deploy, and automate core data components for the NNDAP and Data Lab products.
• Provide standard, reusable solutions through a common code base for internal customers.
• Understand the needs of customers across different business units and translate them into modular solutions that can serve the majority of users.
• Collaborate with team members to brainstorm and design optimized data platform architectures.
• Contribute to the product vision and promote continuous team learning.
• Mentor colleagues and lead technical discussions.
• Share knowledge across the data engineering community and participate in pair programming and collaborative coding.
• Lead, guide, or participate in the NNDAP inner-source community.
• Enable business teams to deliver successful data and AI projects.
• Support and mentor junior engineers.

💻 Technologies

• Microsoft Azure cloud infrastructure and infrastructure as code (IaC)
• Azure Data Factory (ADF) for pipelines and orchestration
• Databricks for data processing and transformation
• Python, including PySpark
• SQL
• CI/CD, packaging, testing, and IaC
• Bicep; Pulumi is a plus

🛠️ Requirements

• 5–7+ years of relevant experience in software engineering, data engineering, platform engineering, or a related field.
• Experience building modular, testable, scalable, and easily consumable platforms.
• Significant experience with Azure data and platform services, including ADLS, Delta Lake, Databricks, and ADF.
• Proven experience delivering multi-tenant or productized data platforms.
• Strong software engineering fundamentals, including Python, PySpark, SQL, CI/CD, packaging, testing, and IaC.
• Practical expertise in lakehouse and medallion architecture.
• Experience with data quality, lineage and metadata, and cloud cost and performance optimization.
• Awareness of security and governance requirements in regulated environments, including Unity Catalog, role- or attribute-based access, secrets, and policies.
• Ability to collaborate effectively in an agile, cross-functional team.

➕ Nice to have

• Experience with platform-level monitoring, observability, and lifecycle management (LCM).
• Familiarity with event-driven patterns and streaming.
• Experience with LakeFlow and its evolution alongside ADF.
• Experience preparing platforms for API-driven data product exposure.
• Knowledge of high-availability patterns.
• Participation in communities such as a Data Engineering Guild.

🤝 Team and ways of working

• Work with a diverse, international team of data and cloud platform engineers.
• Collaborate in two-week agile sprints with a strong focus on customer needs.
• Work across data engineering and infrastructure engineering through a T-shaped team model.
• Help shape technical solutions with a high degree of team autonomy.
• Prioritize quality while delivering valuable, maintainable solutions.
• Contribute to a collaborative environment focused on knowledge sharing and continuous improvement.

🎁 Benefits

• Financial support to equip your home workspace when you start.
• Allowances and telework subsidies.
• Flexible working hours and two months of intensive summer working hours.
• Life insurance and a pension plan.
• Performance-based bonus.
• Flexible compensation options, including a transport card, nursery checks, health insurance with Sanitas, and training.
• Opportunities to participate in volunteering activities during working time.
• Access to a Wellness Program.

📄 Application

• Please submit your CV in English.