1 day ago
Madrid, SpainSenior
Responsibilities
- Design, build, operate, and improve scalable and secure Databricks data platforms in an Azure-based cloud environment.
- Develop and maintain workspace standards, cluster policies, networking, integrations, and other shared platform components.
- Automate platform provisioning and configuration using Infrastructure as Code and CI/CD pipelines.
- Improve platform reliability, performance, cost-efficiency, observability, developer experience, and self-service capabilities.
- Create reusable templates, libraries, reference architectures, standards, guardrails, and best practices for Databricks data engineering and analytics.
- Advise domain teams on designing and implementing data pipelines and analytical use cases on Databricks.
- Partner with architecture, security, and governance teams to align platform solutions with enterprise policies.
- Translate business and analytical requirements into robust and scalable technical solutions.
- Deliver training sessions, workshops, onboarding materials, documentation, and knowledge-sharing activities.
- Coach and mentor engineers and analysts and contribute to the Data & AI engineering culture.
Requirements
- Bachelor’s or master’s degree and corresponding thinking level.
- At least 5 years of experience in data platform engineering or data engineering in large-scale enterprise environments.
- Hands-on experience with Databricks for data engineering, analytics, or platform administration.
- Proficiency in Python and SQL, with familiarity with CI/CD practices.
- Solid understanding of data lake and lakehouse architectures, data ingestion and transformation patterns, and cloud-native data platforms.
- Comfort working in an agile Scrum environment and collaborating with technical and non-technical stakeholders.
- Strong enablement mindset and interest in helping other teams succeed.
- Preferred experience with Azure DevOps, Terraform, Bash, Azure CLI, or REST APIs.
- Preferred experience with data governance, security, access control concepts such as RBAC, analytics engineering tools, or Center of Excellence environments.
- Databricks certifications such as Data Engineer, Platform Administrator, or Solution Architect are desirable.
Benefits
- Hybrid work model.
- Starting financial aid for equipping a home workspace, plus allowances and telework subsidies.
- Flexible working hours and two months of intensive summer working hours.
- Life insurance and pension plan for all employees.
- Performance-based objectives bonus.
- Free parking for cars, motorbikes, electric cars with chargers, and bikes.
- Flexible remuneration options including transport cards, nursery checks, health insurance with Sanitas, and training.
- Volunteer opportunities, a Wellness Program, and an inclusive equal-opportunity work environment.
About NN Group
NN Group is a Dutch public financial services group providing life and non-life insurance, pensions and retirement services, banking, and investment products to consumers and businesses across Europe and Japan. Headquartered in The Hague, it operates in about 10 countries under brands including Nationale-Nederlanden and OHRA. The company listed on Euronext Amsterdam in 2014 (ticker: NN) and serves approximately 18 million customers.