NN Digital Hub is a subsidiary company of NN Group located in Madrid, Spain. We deliver IT services and solutions for the different international Business Units.

Databricks Data Platform Engineer For the Data & AI department at NN Group IT is currently seeking an experienced Databricks Data Platform Engineer to help design, operate, and continuously improve our enterprise-grade data platforms. In this role, you will work at the intersection of platform engineering, enablement, and internal consultancy, supporting domain teams to successfully build data and AI solutions on Databricks. .

Your Impact As a Databricks Data Platform Engineer You will play a key role in standardizing best practices, enabling self-service, and upskilling data engineers, analysts, and data scientists across the organization. The ideal candidate combines strong technical depth with a coaching mindset and enjoys working closely with teams to accelerate their data maturity. Design, build, and operate scalable and secure Databricks data platforms in a cloud environment (Azure-based).

Develop and maintain shared platform components, including workspace standards, cluster policies, networking, and integrations. Automate platform provisioning and configuration using Infrastructure as Code and CI/CD pipelines. Ensure platform reliability, performance, cost-efficiency, and observability.

Enable self-service data engineering and analytics capabilities by providing reusable templates, libraries, and reference architectures. Define and promote platform standards, guardrails,



and best practices for data ingestion, transformation, and analytics on Databricks. Actively remove friction for data teams by improving developer experience on the platform Act as a trusted technical advisor for data engineers, analytics engineers, data scientists, and product teams.

Support domain teams in designing and implementing data pipelines and analytical use cases on Databricks. Training & knowledge sharing Contribute to and deliver training sessions, workshops, and onboarding materials for Databricks users. Coach and mentor engineers and analysts to raise overall data platform maturity.

Share knowledge through documentation, internal communities, and data engineering guilds. Actively contribute to a strong Data & AI engineering culture within the organization. You will be part of the Data & AI Center of Excellence, a multidisciplinary virtual team.

Data engineers, analytics engineers, and data scientists across the organization, other platform and infrastructure teams, architecture, security,



and governance stakeholders We work with a hybrid model Allowance and telework subventions Versátil working hours and 2 months of intensive working hours in summer so you can fully take advantage of your time We establish objectives bonus as a performance reward You can get to the office as you please. We have a free parking lot for cars, motorbikes, electric cars with chargers, and bikes. Get to know our flexible retribution facilities such as transport card, nursery checks, health insurance with Sanitas, trainings...

We are digital and we love technology. Also, every team works under agile methodology. You have a bachelor's or master's degree and corresponding thinking level. You have 5+ years of experience in data platform engineering or data engineering in large-scale enterprise environments.

You have hands‐on experience with Databricks (data engineering, analytics, or platform administration). You are proficient in Python and SQL, and familiar with CI/CD practices.

You have a solid understanding of: Data lake / lakehouse architectures, data ingestion and transformation patterns, Cloud-native data platforms You are comfortable working in an agile (Scrum) environment.

Experience with Azure DevOps, Terraform, Bash, Azure CLI, or REST APIs.

Experience with data governance, security, and access control concepts (e.g. Databricks certifications (Data Engineer, Platform Administrator, or Solution Architect). We are proud to be an inclusive organization and we offer equal opportunities, regardless of race, cultural background, gender, gender identity, religion, national origin, age, disability, marital status, and sexual orientation.

📌 Data Engineer (SCRUM). Remoto (*)
🏢 NATIONALE – NEDERLANDEN
📍 Madrid