Databricks data platform engineer

NN Digital Hub, a subsidiary of NN Group 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.

Key Responsibilities

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. About the Team You will be part of the Data & AI Center of Excellence, a multidisciplinary virtual team.

The Co E'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, other platform and infrastructure teams, architecture, security, and governance stakeholders. We value teamwork, knowledge sharing, and continuous learning, and we actively encourage innovation and personal development.

Benefits and Perks 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 have a Wellness Program available We are digital and we love technology Also, every team works under agile methodology Qualifications 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. You communicate clearly and enjoy collaborating with both technical and non‐technical stakeholders. Y