Principal Analytics Engineer

ppbDo you want to set the technical course and inspire the next generation of data engineers? /b /p pAs a Principal Analytics Engineer at Valcon, you’ll be the technical authority that both clients and colleagues turn to for guidance. You’ll look beyond individual projects to see the bigger picture: how can we elevate our analytics solutions and empower our people to reach their full potential? /p pbData AI Strategy /b /p pValcon places data at the center of every client engagement and focuses on AI and data-driven business transformation. /p h3What will you do? /h3 pIn this role, you combine deep technical expertise with strategic insight. You are responsible for the quality of solutions within a broad portfolio, and you set the standards for the rest of the organization. /p ul liDesign complex, scalable analytics data models and pipelines, ensuring delivery excellence across multiple projects. /li liConnect business requirements with technical implementation to create maximum value for clients while following industry best practices, including dimensional modeling, efficient transformation patterns, medallion architecture, dbt standards, and performance optimization. /li liStay ahead of market developments in analytics tools and methodologies, translating them into new approaches and standards for Valcon. /li liShape how analytics solutions are built and help maintain technical leadership in the analytics space. /li liMentor senior specialists and specialists, contributing to knowledge sharing through expert training and coaching. /li liAct as a trusted advisor in strategic client sessions, helping frame analytics requirements, define KPIs and metrics, and identify opportunities where Valcon can add analytics value. /li /ul h3What do we offer you? /h3 pWe believe top experts need space: space to innovate, and space for a private life. /p ul liDirect influence on Valcon’s technical strategy. /li liA culture that respects work-life balance, including options for a sabbatical or extra leave. /li liAn excellent salary, bonus scheme, and mobility budget or lease car. /li liA network of peers, access to sports facilities, and social events. /li liCompetitive and transparent salary according to the pay structure, an annual bonus of up to 4 months’ salary depending on seniority level, individual performance, and company results, and a monthly expense allowance of €95. /li liThe opportunity to work remotely from abroad for 10 days per year. /li liA vibrant community that organizes both professional and social events. /li /ul h3Who are you? /h3 pYou are a recognized expert in your field who easily switches between technology and business. You enjoy sharing your knowledge, for example by speaking at events or writing publications. /p h3Experience /h3 ul liA completed technical bachelor’s or master’s degree. /li liAt least 5+ years of experience in analytics engineering or data warehousing. /li liExperience leading projects and engaging with director or C-level stakeholders. /li liDeep expertise in modern analytics platforms such as Databricks, Snowflake, BigQuery, and Fabric, and analytics tools including dbt, SQL, and Python. /li liHands-on experience building enterprise data warehouses and implementing analytics best practices such as dimensional modeling and data products. /li liExperience leading complex analytics projects and managing diverse stakeholders across business, data, and technical domains. /li liHands-on experience establishing analytics CI/CD pipelines and data quality frameworks from the ground up in enterprise environments. /li liFamiliarity with enterprise environments and agile teams. /li liStrong communication skills, including advising on data architecture, translating business requirements into technical solutions, and providing substantive support. /li liEffective communication in both Dutch and English. /li liYou already reside in the Netherlands and hold a valid work permit. /li /ul h3Keywords /h3 pdbt, Dimensional Modeling, Strategy, Medallion Architecture, Trusted Advisor, Stakeholder Management, Mentorship, Data Products. /p /p #J-18808-Ljbffr