Data Engineer

• Improve creator discovery across 400M+ profiles and billions of media files through retrieval, filtering, ranking, relevance, speed, and product decisions
• Build systems that generate and use embeddings from images, video, text, and audio at massive scale
• Evaluate models and technologies while balancing cost, latency, and quality
• Move promising search approaches from experiments into reliable production systems
• Shape problems, gather requirements, design architecture, write code, release features, measure outcomes, and iterate
• Inspect retrieval and ranking stages to identify and fix relevance issues
• Build and test multimodal embedding pipelines
• Collaborate with Data Insights on datapoint definitions, coverage, and data-quality requirements
• Test reranking models against real customer queries and assess relevance, latency, and inference cost
• Review production metrics, investigate regressions, and determine whether fixes belong in models, data, query logic, or product
• Collaborate with Data Core, Data Insights, product teams, customers, and company leadership
• Participate in intro, coding, system design, team, and CEO culture/alignment interviews

Senior Software Engineer – Data Search

• Design, build, and own structured data marts consolidating user, campaign, and partner signals
• Build and maintain scalable data pipelines from raw inputs to model-ready features
• Deliver model outputs to CRM and campaign execution systems
• Ensure model decisions flow to downstream systems including HighTouch, CRM, and Voucher Hub
• Establish schema governance, SLAs, and monitoring for integrations
• Build and maintain campaign data infrastructure supporting ingestion, processing, and refreshed outputs
• Implement monitoring, validation, and alerting for pipeline robustness and data accuracy
• Investigate and resolve issues before they affect live campaigns
• Collaborate with Data Scientists, Analysts, CRM partners, and product teams
• Define schemas and ensure data is available in the right place at the right time

• Lead the design, development, and maintenance of scalable data products and analytics solutions supporting FEC insight, reporting, and decision-making
• Ensure the quality, reliability, and maintainability of the squad's data landscape through engineering standards, governance principles, and continuous improvement
• Act as a senior technical leader, mentoring engineers, driving solution ownership, and contributing to the strategic evolution of the Data Capabilities domain
• Collaborate with stakeholders across business, technology, compliance, data management, and engineering
• Develop data products supporting Financial Crime Compliance monitoring, decision-making, and reporting
• Own solution design and continuous improvement while identifying opportunities and mitigating risks
• Review solution designs and coach team members on data modelling, code quality, and engineering best practices
• Identify data-pipeline performance bottlenecks and implement improvements to reliability, processing efficiency, and data quality
• Design dashboards with FEC specialists and business stakeholders to provide actionable insights into client risk profiles and operational processes

Senior Data Engineer – Data Capabilities

• Ontwerpen, bouwen en doorontwikkelen van moderne dataplatformen in de cloud
• Werken in kleine multidisciplinaire teams aan end-to-end data-oplossingen
• Vertalen van businessbehoeften naar robuuste, schaalbare architecturen
• Voortouw nemen in technische besluitvorming, kwaliteitsborging en projectstandaarden
• Hands-on ontwerpen en optimaliseren van ETL/ELT-pipelines met SQL, Python, Databricks/Spark en orchestration tooling
• Toepassen van dimensioneel modelleren, Data Vault en gelaagde data-architecturen zoals Medallion
• Inrichten van DevOps-, CI/CD-, testing- en monitoringprocessen
• Optimaliseren van performance en datakwaliteit
• Adviseren van klanten over architectuur- en roadmapbeslissingen
• Begeleiden van klanten bij de implementatie van dataplatformen
• Coachen van medior en junior consultants
• Bijdragen aan kennisdeling, best practices en de verdere ontwikkeling van data- en AI-proposities

Consultant, Data Engineering

• Design, develop and optimise data platforms connecting internal and external systems across Insurance & Pensions and its partners
• Ensure reliable data movement, scalable models and high-quality analytics solutions
• Translate complex business requirements into robust, maintainable cloud-native solutions
• Establish best practices for Infrastructure as Code, automated testing, code coverage, maintainability, CI/CD optimisation and uniform coding standards
• Transform the metadata-driven ETL framework into an event-driven architecture using the existing metadata database and Python ETL package
• Develop a self-service data platform for consumers to create and maintain queries using data products to populate the gold layer of the data lakehouse
• Design and maintain secure, reliable and scalable cloud-native data platforms, integrations and pipelines
• Develop transformation logic and orchestration solutions supporting operational processes, regulatory requirements and analytics
• Lead technical improvements through architecture guidance, DevOps automation, mentoring and consistent engineering standards
• Collaborate with business specialists, architects, analysts and engineers to improve the data landscape

Data Engineer jobs in Netherlands

Senior Software Engineer – Data Search

Data Engineer

Senior Data Engineer – Data Capabilities

Consultant, Data Engineering

Senior Data Engineer – Insurance, Pensions