Senior Data Engineer

Senior Data Engineer (Advanced Analytics)

Your challenges

Are you a technically savvy Data Engineer ready to create game-changing solutions in advanced analytics and AI? Do you excel at turning visionary designs into implementable components that deliver tangible results? If you’re passionate about harnessing technology to drive business value, this is your opportunity to make a real impact.

As a Senior Data Engineer, you will:

• Translate business needs and architectural concepts into detailed, actionable technical specifications.
• Conduct rigorous technical reviews to ensure compliance with architectural standards and best practices.
• Lead the integration of diverse system components, guaranteeing seamless functionality.
• Drive technical teams toward successful execution of architectural designs and project goals.
• Manage relationships with key stakeholders, ensuring alignment and clear communication throughout project lifecycles.
• Mentor junior colleagues, fostering their growth and building a culture of continuous learning.
• Elevate the quality, security, and scalability of architectural implementations through expert insights and meticulous planning.
• Provide cutting-edge technical advice and input for complex requests.

This is what you bring

• A Master’s degree in Computer Science or a related field, with at least 4 years of relevant professional experience.
• A proven track record in consulting, delivering tailored, high-impact solutions across diverse industries.
• Deep knowledge of software architectural patterns and system development best practices.
• Proficiency in at least one programming language (e.g., Python, Java, Go).
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes), with a drive to expand expertise further.
• Exceptional communication skills, enabling you to bridge the gap between technical and non-technical audiences.
• Experience with architecture frameworks (e.g., TOGAF, Zachman, or FEAF) and aligning IT strategies with business objectives.

Don’t meet all the criteria? No problem! If you’re passionate about this role, we’d love to hear from you.

What will you do in this position?

As a Senior Data Engineer, you’ll operate at the cutting edge of Solution and Enterprise Architecture, shaping data-driven solutions for leading global organizations. By working closely with Solution Architects, you’ll translate high-level business challenges into detailed blueprints that deliver measurable outcomes.

In collaboration with the Advanced Analytics and Big Data team—comprised of hybrid data engineers and data scientists—you’ll transform business opportunities into state-of-the-art architectures and solutions. Your work will span industries such as retail, banking, and healthcare, ensuring every solution is tailored to the unique needs of each client.

You’ll get hands-on with cloud-native technologies, open-source tools, and cutting-edge AI (including Generative AI), driving innovation and helping businesses become resilient, data-driven powerhouses. Together with your team, you’ll tackle complex analytical challenges and lead the design, development, and implementation of future-proof Data and AI solutions.

At KPMG, we combine business expertise with advanced technologies to solve our clients’ toughest problems. As part of our hybrid engineering approach, you’ll leverage the best-fit tech stacks and cloud platforms to create scalable, impactful solutions. This flexibility places you at the forefront of shaping the future of Big Data and AI.

If you’re eager to lead transformative projects and work with the latest innovations in Big Data and AI, this role will give you the platform to excel, grow, and make a meaningful difference.

This is what we offer

• A competitive salary, bonus, fixed expense allowance, and working-from-home allowance.
• 30 vacation days, with the option to buy or sell additional days.
• A fully equipped home office setup.
• A lease car or mobility budget.
• A laptop and iPhone for professional and personal use.
• Pension accrual with no mandatory personal contribution.
• Access to a wide range of courses to fuel your personal and professional growth.
• A strong focus on well-being, with access to health and vitality programs and discounts at local gyms—or the on-site gym at our Amstelveen office.

Ready to lead the charge in advanced analytics and AI? Join us at KPMG and help define the future of data-driven innovation!