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Data Engineering Lead / Evangelist

J On The Beach·Salary not specified

Nice to have's

Agile

Job description

About the Position

NN Digital Hub, a subsidiary of NN Group located in Madrid, Spain, is seeking an experienced Data Engineering Lead / Evangelist to join our team. We aim to become a socially responsible tech company that delivers digital products our customers love. The role is pivotal in enhancing data engineering capabilities and driving community engagement across the organization.

Responsibilities

  • Define and drive data-engineering standards and best practices, establishing robust engineering guardrails adopted by teams across business units.
  • Organize and facilitate Guild events such as meetups, tech talks, office hours, and hackathons.
  • Serve as a visible champion for shared success, encouraging collaboration and knowledge-sharing across teams.
  • Evangelize reusable engineering patterns, platform capabilities, and shared assets.
  • Own and continuously improve NN’s Data Engineering learning track, part of its internal Data Literacy Program.
  • Keep the curriculum up to date, relevant, and engaging, including exercises and assessments.
  • Deliver training workshops and onboarding programs for new and experienced data engineers.
  • Act as a coach and mentor, helping engineers across all business units advance their skills.
  • Develop clear documentation, guidelines, FAQs, and playbooks, keeping knowledge assets accessible and current.
  • Represent Data Engineering in cross-domain forums and communities of practice, including Data Science, Architecture, and Engineering.
  • Work closely with data-engineering teams in different business units and the central Data Platform team to align on best practices and standards.

Requirements

  • Bachelor’s or Master’s degree, or equivalent level of experience.
  • 5+ years of experience in data engineering and/or data-platform development in a large-scale enterprise environment.
  • Strong hands-on experience with lakehouse/data-platform technologies - Databricks is preferred - and modern data-engineering practices.
  • Understanding of lakehouse architectures, data modelling, including medallion patterns, ingestion and transformation patterns, and data-quality concepts.
  • Comfortable working in an Agile environment and can drive initiatives through influence rather than formal authority.
  • Communicate clearly, facilitate groups confidently, and adapt your message to technical and non-technical stakeholders.
  • Strong enablement mindset and enjoy coaching others, designing learning experiences, and growing an engineering community.

Nice to Have

  • Experience building or running internal enablement programs, academies, learning tracks, communities of practice, or guilds.
  • Relevant certifications, such as Databricks Data Engineer, or equivalent demonstrated expertise.
  • Experience in an enablement-focused setup, such as a Centre of Excellence, platform team, or federated operating model.

We Offer

  • Hybrid work model.
  • Financial support to equip your home workspace.
  • Allowance and telework subsidies.
  • Flexible working hours and two months of intensive summer working hours.
  • Life insurance and pension plan.
  • Performance-based objectives bonus.
  • Free parking for cars, motorcycles, electric cars with chargers, and bikes.
  • Flexible compensation, including transport card, nursery checks, Sanitas health insurance, and training.
  • Volunteering opportunities and time for employees to contribute to society.
  • Wellness program.
  • An Agile, technology-focused work environment.

About the Company

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. We are committed to teamwork, knowledge-sharing, continuous learning, and actively encourage innovation and personal development.

© J On The Beach. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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