Databricks Data Platform Engineer

nngroup; Madrid; Híbrido; EUR 70.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Starting financial aid for workspace

Life insurance and pension plan

Performance-based bonus

Office parking and transport benefits

Descripción de la vacante

NN Digital Hub, a subsidiary of NN Group, in Madrid, Spain, seeks an experienced Databricks Data Platform Engineer to design, operate, and continuously improve our enterprise-grade data platforms on Databricks in a cloud environment. You will work at the intersection of platform engineering, enablement, and internal consultancy to support domain teams.

You will collaborate with data engineers, analytics engineers, data scientists and other platform teams to ensure scalable, secure data pipelines

Formación

• Bachelor's or Master's degree in a relevant field.
• 5+ years of experience in data platform engineering or data engineering in large-scale enterprise environments.
• Hands-on experience with Databricks (data engineering, analytics, or platform administration).
• Proficiency in Python and SQL, and familiarity with CI/CD practices.
• Solid understanding of Data lake / lakehouse concepts.

Responsabilidades

• Design, build, and operate scalable Databricks data platforms in Azure.
• Develop and maintain shared platform components: 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 with templates, libraries, and reference architectures.
• Define and promote platform standards, guardrails, and best practices for data ingestion, transformation, and analytics on Databricks.
• Support teams in adopting these standards while balancing autonomy and governance.
• Actively remove friction for data teams by improving developer experience on the platform.
• Act as trusted advisor for data engineers, analytics engineers, data scientists, and product teams.
• Collaborate with architects, security, and governance teams to ensure platform solutions align with enterprise policies.
• Translate business and analytical requirements into robust, scalable technical solutions.
• Deliver training sessions, workshops, and onboarding materials to Databricks users.

Conocimientos

Databricks

Python

SQL

CI/CD

Data Platform Engineering

Educación

Bachelor's or Master's degree

Herramientas

Azure Cloud

Descripción del empleo

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 Databricks Data Platform Engineer

Platform engineering & operations

• 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.

Enablement & self-service

• 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.
• Support teams in adopting these standards while balancing autonomy and governance.
• Actively remove friction for data teams by improving developer experience on the platform

Consultancy & stakeholder support

• 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.
• Partner with architects, security, and governance teams to ensure platform solutions align with enterprise policies.
• Translate business and analytical requirements into robust, scalable technical solutions.

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.

The team you'll join

You will be part of the Data & AI Center of Excellence, a multidisciplinary virtual team. The CoE's mission is to enable domain teams by providing reliable platforms, clear standards, and hands‑on support.

You will collaborate closely with: Data engineers, analytics engineers, and data scientists across the organization , o ther platform and infrastructure teams , a rchitecture, security, and governance stakeholders

We value teamwork, knowledge sharing, and continuous learning, and we actively encourage innovation and personal development.

What do we offer

As part of our Employee Experience, we offer you a range of competitive benefits that are available to you in order to improve the physical, mental, and professional wellbeing of our workers. Among the benefits are:

• We work with a hybrid model
• Starting financial aid so you can equip your workspace at home
• Allowance and telework subventions
• Flexible working hours and 2 months of intensive working hours in summer so you can fully take advantage of your time
• We hire a life insurance and a pension plan for all our employees
• 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 care about people. That is why we are involved in society by facilitating volunteer actions and time to all our employees.
• We care about your wellbeing. We have a Wellness Program available.
• We are digital and we love technology. Also, every team works under agile methodology.

Who you are

• 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 / lakeho