ppNN Digital Hub is a subsidiary company of Nationale Nederlanden Group located in Madrid, Spain. We deliver IT services and solutions for the different international Business Units from Nationale Nederlanden Group. /p h3Data Engineering Lead / Evangelist /h3 pWe are looking for an experienced Data Engineering Lead / Evangelist to join our team at NN and help us achieve our goal of becoming a socially responsible tech company that delivers digital products our customers love. /p pFor the Data AI department at NN Group IT we are seeking an experienced Data Engineering Lead / Evangelist who will help raise the data engineering capability across the organization. This role is a core team member of the Data Engineering Guild driving standards, best practices, and community enablement and acting as Subject Matter Expert (SME) for the DLP Data Engineering learning track. /p pThe NN Data Engineering Guild consists of 270+ data engineers and data platform engineers spread across 10+ Bussines units/ countries. /p h3Key Responsibilities /h3 ul liDefine and drive data engineering standards best practices: Establish and maintain robust engineering guardrails that are adopted by teams across business units. /li liCommunity leadership evangelism: Organize and facilitate Guild events such as meetups, tech talks, office hours, and hackathons to build an active, engaged data engineering community. /li liServe as a visible champion for shared success, encouraging collaboration and knowledge-sharing across teams. /li liPromote reusable patterns platform adoption: Evangelize reusable engineering patterns, platform capabilities, and shared assets. /li liDevelop and curate learning programs: Own and continuously improve NN’s Data Engineering learning track (part of our internal Data Literacy Program). Ensure the curriculum remains up-to-date, relevant, including creating engaging exercises and assessments. /li liTraining onboarding enablement: Deliver training workshops, and onboarding programs for new and experienced data engineers. Act as a coach and mentor, fostering an enablement culture where engineers across all business units can advance their skills. /li liDocument and communicate effectively: Develop clear documentation, guidelines, FAQs,



and playbooks, and ensure these knowledge assets are well-structured, up-to-date, and easily accessible. /li liCross-functional collaboration: Represent Data Engineering in cross-domain forums and communities of practice (e.g. with other guilds Data Science, Architecture, or Engineering). /li liInfluence without direct authority: Work closely with data engineering teams in different business units and the central Data Platform team to align on best practices and standards. /li /ul h3The Team You’ll Join /h3 pYou will be part of the Data AI enablement ecosystem, working across the organization to strengthen data engineering capabilities. In this role you will collaborate closely with the DLP stakeholders and the Data Engineering Guild core team to drive standards, community engagement, and adoption. /p pWe value teamwork, knowledge sharing, and continuous learning, and we actively encourage innovation and personal development. /p h3Benefits /h3 ul liWe work with a hybrid model /li liStarting financial aid so you can equip your workspace at home /li liAllowance and telework subventions /li liFlexible working hours and 2 months of intensive working hours in summer so you can fully take advantage of your time /li liWe hire a life insurance and a pension plan for all our employees /li liWe establish objectives bonus as a performance reward /li liYou can get to the office as you please. We have a free parking lot for cars, motorbikes, electric cars with chargers, and bikes. /li liGet to know our adaptable retribution facilities such as transport card, nursery checks, health insurance with Sanitas, trainings… /li liWe care about people. That is why we are involved in society by facilitating volunteer actions and time to all our employees. /li liWe care about your wellbeing. We have a Wellness Program available.



/li liWe are digital and we love technology. Also, every team works under agile methodology. /li /ul h3Who You Are /h3 ul liYou have a bachelor’s or master’s degree and corresponding thinking level. /li liYou have 5+ years of experience in data engineering and/or data platform development in a large-scale enterprise environment. /li liYou have strong hands-on experience with lakehouse/data platform technologies (Databricks preferred) and modern data engineering practices. /li liYou have a solid understanding of lakehouse architectures, data modeling (including medallion patterns), ingestion and transformation patterns, and data quality concepts. /li liYou are comfortable working in an agile environment and can drive initiatives through influence rather than formal authority. /li liYou communicate clearly, facilitate groups confidently, and can adapt your message to both technical and non-technical stakeholders. /li liYou have a strong enablement mindset and enjoy coaching others, designing learning experiences, and growing an engineering community. /li /ul h3Nice To Have /h3 ul liExperience building or running internal enablement programs (academies, learning tracks, communities of practice, guilds). /li liRelevant certifications (e.g., Databricks Data Engineer) or equivalent demonstrated expertise. /li liExperience working in an enablement-focused setup (CoE, platform team, or federated operating model) is a plus. /li /ul pIf you are a passionate and experienced Data Engineering Lead / Evangelist 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! /p pPlease send your CVs in English language. /p pIn 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. /p /p #J-18808-Ljbffr

📌 Data Engineering Lead / Evangelist (Madrid)
🏢 NATIONALE – NEDERLANDEN
📍 Madrid