Key Skills

Job Description

As a Databricks Technical Enablement Specialist, you will help teams across Ahold Delhaize make effective, efficient and informed use of Databricks and the wider data ecosystem. You will combine hands-on technical expertise with a strong understanding of user needs, helping teams choose the right capabilities, improve their approaches and get more value from the technology available to them. We believe technical enablement is about more than answering questions. It means proactively identifying where teams are struggling, spotting opportunities for optimization, and creating practical, reusable solutions that help many teams rather than solving the same problem repeatedly. In this hands-on enablement role, you will work directly with users, product teams and technical experts to turn these opportunities into guidance, demonstrations, reference implementations and tools. Initially, your focus will be Databricks, working closely with the Databricks product team while being part of a team focused on user experience and enablement across our data products and platforms. You will help connect technical capabilities with the people using them, including through workshops, technical communities and cross-product solution guidance. Your responsibilities include: Help teams use Databricks effectively and efficiently, reviewing technical approaches and identifying opportunities to improve workload performance, cost and use of platform capabilities. Provide technical guidance on how Databricks and other data platform products can work together, helping users navigate available capabilities and design effective approaches. Proactively identify teams and use cases that would benefit from enablement, using platform usage insights, recurring questions and feedback from users and product teams. Build reusable technical solutions, proofs of concept, reference implementations, templates and diagnostic or optimization tooling that address common needs across teams. Develop Databricks-specific usage and cost insights that help users understand what drives their spend, identify inefficient patterns and assess optimization opportunities. Explore and demonstrate Databricks capabilities for AI and agent development, working with the wider GenAI ecosystem on best practices, developer onboarding and reusable examples. Create and deliver technical workshops, demos, learning paths, examples and reusable guidance, and help build a community that connects users, power users and technical experts. Work closely with the Databricks product team and other product teams to stay informed about roadmaps, architecture decisions and new capabilities, and help users understand where these developments can benefit them. The recipe for maximum impact Strong hands-on experience with Databricks and its capabilities, including the ability to review workloads, assess technical approaches and demonstrate effective usage. Experience in data engineering, platform engineering, solution design or a similar technical role, with the ability to build prototypes, reusable tools and reference implementations. Understanding of workload performance, cost drivers and optimization approaches in cloud-based data platforms. Strong communication skills, with the ability to explain complex technical concepts clearly and make them accessible to audiences with varying levels of technical expertise. Excellent interpersonal and stakeholder management skills. You enjoy engaging with people, building relationships, understanding their needs, and bringing others along through engaging conversations, presentations and knowledge-sharing. Interest in emerging Databricks capabilities, including AI and agent-related use cases, and the curiosity to explore how they can be applied in practice. Experience sharing technical knowledge through documentation, demonstrations, workshops, mentoring or communities of practice. A proactive, ownership-driven mindset: you spot recurring problems and opportunities, prioritize where your effort will have the greatest impact and take ideas through to tangible outcomes. Comfort working across teams and adapting your focus as user needs and technology evolve. Don't tick every box? We'd still love to hear from you! If you're excited about the role and believe you could be a great fit, we encourage you to apply. What we offer. At Albert Heijn we aim to grow, and this is only possible if you grow along with us. As we work together to build our brand and your career, you can count on (based on 40 hours per week): An annual salary up to 80k including holiday allowance and a flexible bonus. Depending on your experience; 45 days of paid leave to enjoy your well-deserved holidays: 25,5 regular vacation days and 19,5 ADV days. Enjoy! Flexible working hours; Access to a challenging training curriculum – AH Tech Academy; An excellent pension plan where we as an employer contribute 4,5 more than you as an employee; A travel allowance or a NS-business card for traveling to and from Zaandam by train; Attractive discounts on various insurance policies; 10% staff discount on groceries in all Albert Heijn stores, to a maximum of €300 per year; A free Mijn Albert Heijn Premium membership with many benefits; A company laptop and telephone. What makes you successful in this role You are naturally curious and proactive, with deep technical expertise and a genuine interest in people. You enjoy working directly with engineering teams, understanding their challenges and identifying where a different approach, a useful example or a small reusable solution could make a big difference. You are equally comfortable exploring a Databricks capability hands-on and explaining its value to others. You know when to guide, demonstrate or prototype, and when an operational issue belongs with the product team. Above all, you want to help people make better use of technology. We’re Albert Heijn, food retail reinventors. 🚀 Albert Heijn goes way back. More than 135 years, to be exact. So for millions of people, food shopping is synonymous with the Albert Heijn brand. We didn’t achieve this with a complacent, ‘hey, if it works today, it’ll work tomorrow’ approach, but by continually rethinking our propositions and staying plugged in to customer demands. More than 125,000 colleagues? Check. Over 1,250 stores in the Netherlands and Flanders? Check. The leading online food retail platform? Check, we build, run and love it. Together we make eating better the easy choice. For everyone. The world around us has changed, and significantly at that. These changes have impact on the lives of our customers, colleagues and partners. And therefore, also on Albert Heijn. We’re moving towards a new world with new opportunities and challenges. Albert Heijn wants more people to eat fresher, healthier and more sustainable food. Eating brings us together, keeps us healthier and contributes positively to the world. Our mission is: Together we make eating better the easy choice. For everyone. Albert Heijn the Netherlands is B Corp certified. This underscores our purpose, through which we aim to contribute to a healthier, more social, and sustainable society. B Corp certification is a designation that a business is meeting high standards of verified performance, accountability and transparency. Ready to contribute to our mission? Do you want to play an active role in changing the food retail landscape as we know it? Then hop on board and join us on our expedition. Would you like to learn more first, before you apply to Albert Heijn? We’re happy to tell you everything about this vacancy! An assessment might be part of our selection process.

Core Responsibilities

Enable teams to use Databricks and related data platforms effectively by reviewing workloads, advising on technical approaches, and identifying performance and cost improvements. Build reusable tools, examples, and guidance; deliver workshops and demonstrations; and collaborate with product teams to support adoption of platform and AI capabilities.

Requirements

The role calls for strong hands-on Databricks experience and a background in data engineering, platform engineering, solution design, or a similar technical field, including the ability to build prototypes and reusable solutions. Candidates should understand cloud data platform performance and cost optimization, communicate effectively with varied audiences, and proactively share knowledge and work across teams.

Benefits

• Paid Leave
• Flexible Working Hours
• Training and Development
• Pension Plan
• Travel Allowance
• Public Transport Business Card
• Insurance Discounts
• Employee Grocery Discount
• Premium Membership
• Company Laptop
• Company Phone
• Flexible Bonus