Senior Analytics/Data Engineering Manager

ppbAmsterdam, Netherlands | Competitive Salary + Bonus + Benefits /b /p pThis is an opportunity to lead the data platform that underpins a large-scale digital business. As Analytics Engineering Manager, you will combine people leadership, technical expertise, and delivery ownership to build a trusted, scalable data foundation that enables analytics, product innovation, and business growth. /p pbThe Company /b /p pThey are a data-driven technology business operating at significant scale, with a strong focus on delivering reliable, accessible, and high-quality data across the organisation. Their data platform supports a wide range of analytics and business functions, making it a critical part of how decisions are made and products are developed. They invest heavily in modern data engineering practices, automation, and platform excellence. You will join a collaborative environment that values technical leadership, innovation, and continuous improvement. /p pbThe Role /b /p ulliLead, coach, and develop a team of Analytics Engineers and Data Engineers. /liliOwn data ingestion pipelines, transformation workflows, and data warehouse orchestration. /liliDesign and evolve scalable data models that support analytical and business needs. /liliDrive automation across data processes to improve efficiency and reduce manual effort. /liliEstablish engineering best practices across CI/CD, testing, code review, and deployment. /liliOwn data quality, monitoring, observability, and incident management processes. /liliDevelop and govern a semantic layer to ensure consistency of business metrics. /liliOptimise platform performance, scalability, and cost efficiency. /liliManage stakeholder relationships across product, analytics, engineering, and senior leadership teams. /liliEvaluate and implement modern tooling, including AI-assisted engineering workflows where appropriate. /liliDefine platform roadmaps and communicate priorities, risks, and trade-offs to senior stakeholders. /li /ul pbYour Skills Experience /b /p ulliStrong commercial experience leading Analytics Engineering, Data Engineering, or Data Platform teams. /liliDeep expertise in data warehousing, data modelling, and modern cloud-based data platforms. /liliStrong knowledge of ELT/ETL design, orchestration frameworks, and transformation tools such as dbt and Airflow or similar technologies. /liliExperience building and maintaining reliable, large-scale data platforms. /liliStrong understanding of data quality, observability, testing, monitoring, and data governance practices. /liliExperience implementing software engineering principles including CI/CD, version control, automated testing, and code review. /liliAbility to balance strategic leadership with technical decision-making. /liliExperience managing platform costs, performance optimisation, and operational efficiency. /liliExcellent communication skills with the ability to engage technical and non-technical stakeholders. /liliPassion for developing high-performing engineering teams and creating a strong engineering culture. /li /ul pbWhat They Offer /b /p ulliCompetitive salary package. /liliComprehensive wellbeing and employee support programmes. /liliOpportunity to lead a business-critical data platform operating at significant scale. /liliExposure to modern cloud technologies, advanced data engineering practices, and AI-enabled workflows. /liliStrong career development opportunities with scope to influence data strategy and platform direction. /liliFlexible and collaborative working environment focused on growth and learning. /li /ul /p #J-18808-Ljbffr