Tech Lead – Data & Analytical Engineering

Rituals Cosmetics Enterprise B.V.; Amsterdam; On-site; EUR 120,000 - 160,000; Full time

Job summary

Rituals Cosmetics Enterprise B.V. in Amsterdam is seeking a Tech Lead - Data & Analytical Engineering to lead the design and delivery of scalable data products across value stream teams.

You will mentor data engineers, shape the Enterprise Data Platform adoption, and drive governance, security, and production standards while partnering with product owners and business sponsors to align priorities and accelerate insights.

Responsibilities

• Lead the technical design, build, and rollout of scalable data products for value stream teams on the Enterprise Data Platform.
• Define and evolve architectural patterns for data and analytical solutions, including decisions around batch and event‑driven approaches.
• Drive engineering excellence across development, testing, deployment, observability, security, and documentation standards.
• Mentor data engineers and analytical engineers, while guiding external engineering partners to align with agreed ways of working.
• Partner with Product Owners, value stream leads, and business sponsors to align priorities, explain technical decisions, and support platform adoption.
• Elevate legacy data pipelines and products by bringing them in line with current engineering, governance, and quality standards.

Job description

As Tech Lead - Data & Analytical Engineering, you will play a key role in strengthening how we build and scale data products within our value stream teams. You will join our Data, Analytics & AI organization in Amsterdam and act as the technical leader within a data engineering team, combining hands‑on engineering leadership with technical direction and mentoring.

In this role, you help bring trusted, scalable, and reliable data products closer to the business domains that use them every day. You will work on the adoption of our Enterprise Data Platform, helping value stream teams move faster while improving engineering quality and consistency. Your work will support better governance, stronger production standards, and more effective use of data across the organization.

You will partner closely with Product Owners, value stream leads, business sponsors, data engineers, external engineering partners, and our wider Data Analytics and AI engineering forum. With your technical expertise and grounded approach, you will help elevate legacy models while building the next generation of domain-aligned data products. In doing so, you will help create measurable business value and shape the way we work as we continue to grow.

Responsibilities

• Lead the technical design, build, and rollout of scalable data products for value stream teams on the Enterprise Data Platform.
• Define and evolve architectural patterns for data and analytical solutions, including decisions around batch and event‑driven approaches.
• Drive engineering excellence across development, testing, deployment, observability, security, and documentation standards.
• Mentor data engineers and analytical engineers, while guiding external engineering partners to align with agreed ways of working.
• Partner with Product Owners, value stream leads, and business sponsors to align priorities, explain technical decisions, and support platform adoption.
• Elevate legacy data pipelines and products by bringing them in line with current engineering, governance, and quality standards.