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Salary
≈ $62k – $125k per year (Estimated)
Location
Hybrid (Madrid, Spain)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Sep 10, 2026. NN Group scores A on the Alion truth index.

Overview
Company
Impact
Profile match
NN Group is a Dutch financial services company headquartered in The Hague, providing life and non-life insurance, retirement services, pensions and banking through brands such as Nationale-Nederlanden and NN Bank. With roots going back to 1845 and listed on Euronext Amsterdam, it is active in about ten countries across Europe and in Japan, with major offices in Rotterdam, Madrid, Brussels, Budapest, Prague, Warsaw and Tokyo. It recruits data scientists and data and AI engineers, security architects and information security officers, cloud security engineers, product owners, actuarial and reporting specialists and marketing interns.

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.

DatabricksDataPlatformEngineer

For theData & AIdepartmentat NN GroupITis currently seekingan 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 DatabricksDataPlatformEngineer:

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.

Your Impact as Databricks Data Platform Engineer : What are you going to do

Platform engineering & operations

  • Design, build, andoperatescalable and secure Databricks data platforms in a cloud environment (Azure-based).

  • Develop andmaintainshared 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, anddataengineering 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 & AICenterof Excellence, a multidisciplinaryvirtualteam. TheCoE’smission 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.

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/lakehousearchitectures, 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.

  • You have a strong enablement mindset and enjoy helping others succeed.

Nice to have:

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

  • Experience with data governance, security, and access control concepts (e.g.RBAC).

  • Familiarity with analytics engineering tools and practices.

  • Databricks certifications (Data Engineer, Platform Administrator, or Solution Architect).

  • Experience working in aCenterof Excellence or similar enablement-focused setup.

If you are a passionate and experienced Databricks Data Platform Engineer looking for an exciting opportunity to work in a dynamic and challenging environment, we encourage you to apply for this position. We are waiting for you!

Please send your CVs in English language.

In Nationale-Nederlanden we are committed with diversity. 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. One of our core values is taking care of our employees so they can give their best within a respectful environment.

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