Tech Lead – Data & Analytical Engineering at Rituals

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

11 Oct, 26

Salary

0.0

Posted On

13 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Analytical Engineering, GCP, BigQuery, Pub/Sub, Cloud Run, GCS, Technical Leadership, Architecture Design, Mentoring, Stakeholder Management, Data Governance, Event-Driven Architecture, Production-Grade Data Products, Observability, Security Standards

Industry

Personal Care Product Manufacturing

Description

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 organisation 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 organisation. 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. In this role, you will: 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. Qualifications In this role, we are looking for a technical leader who combines deep engineering knowledge with a practical, collaborative mindset. You are comfortable moving between architecture, hands-on delivery, mentoring, and stakeholder conversations. You know how to raise standards without relying on formal authority, and you bring clarity to both technical and non-technical discussions. You enjoy helping teams build strong engineering habits while keeping an eye on what the business needs most. Above all, you bring ownership, curiosity, and care to the way you work with others and the products you help deliver. To be successful in this role, you: Bring strong hands-on experience in data and analytical engineering, including building and operationalising production-grade data products end-to-end. Have deep expertise in GCP technologies such as BigQuery, Pub/Sub, Cloud Run, and GCS, and can make sound trade-offs around cost, performance, and scalability. Have deep expertise in one major cloud technologies, preferably GCP and has working knowledge of managed products such as BigQuery, Pub/Sub, Cloud Run, and GCS, and can make sound trade-offs around cost, performance, and scalability. Demonstrate influential leadership, mentoring skills, and the ability to guide engineers and external partners while raising standards across teams. Are fluent in business English and comfortable working predominantly from the office in Amsterdam. Additional Information At Rituals, we are committed to care for everyone and strive to create a diverse workplace where all employees belong and have equal opportunities to succeed. Read more about our commitment here https://careers.rituals.com/en-NL/work-with-heart-and-soul/diversity-and-inclusion/ Location and Working Conditions At Rituals, we believe in the power of connection: with ourselves, each other, and the world around us. That is why we work 80% from the office (typically four days per week) and 20% from home. Together, we bring our brand philosophy to life by transforming everyday routines into meaningful moments. Our Benefits Working at Rituals means being part of a fast-growing, international environment, while staying grounded in what matters: people, wellbeing and meaningful work. Competitive salary package Bonus opportunity Pension plan Travel allowance Learning and development opportunities (training, internal growth, mentorship) Employee discount on Rituals products Wellbeing support initiatives The Next Steps Our process is designed to be thorough and transparent, so we can both make a confident choice. Our recruiter will contact you within 10 working days Intro call with the recruiter to discuss your application and mutual fit An interview with the business to learn more about the role and assess your experience A second interview including a business case An online assessment (cognitive ability plus personality questionnaire) If the outcome is positive, you’ll receive an offer to join our team Rituals Job Grade HO: 17 Rituals Job Family: Data & Process Management Department: Central Head Office Head Office Department: Tech & Data

Responsibilities

Lead the technical design and rollout of scalable data products on the Enterprise Data Platform for value stream teams. Drive engineering excellence and mentor data engineers while aligning technical decisions with business priorities.