Data Engineering Manager

pThis is a high-impact Analytics Engineering Manager role focused on building and scaling a data platform that underpins critical product and business decisions. You will lead a team while shaping a modern data environment operating at significant scale, with a strong emphasis on reliability, performance and trust in data. /pbrAlle aanvullende informatie die u voor deze baan nodig heeft, vindt u in de onderstaande tekst. Zorg ervoor dat u deze grondig leest en vervolgens solliciteert.brpbThe Company /b /ppThey are a large-scale digital business with a strong data-driven culture at the core of decision making. Operating a complex data ecosystem with high volumes of daily data processing, they invest heavily in building a robust and scalable data foundation. Data is treated as a product, with clear ownership, high engineering standards and a focus on long-term platform evolution. The organisation fosters close collaboration between engineering, analytics and senior leadership to ensure data is a trusted asset across the business. /ppbThe Role /b /pulliOwn the end-to-end data platform, including ingestion pipelines, data modelling and warehouse orchestration /liliLead and develop a team of analytics and data engineers, setting standards and supporting growth /liliDrive automation across data workflows to improve scalability and efficiency /liliEnsure high data quality through monitoring, testing and robust data contracts /liliDesign and govern a semantic layer to ensure consistent metric definitions /liliOptimise warehouse performance and manage cost efficiency at scale /liliEstablish engineering best practices including CI/CD, version control and code quality standards /liliPartner with stakeholders across analytics, product and leadership to align on data strategy and delivery /li /ulpbYour Skills Experience /b /pulliStrong experience leading data or analytics engineering teams in a complex environment /liliDeep expertise in data warehousing, data modelling and large-scale data processing /liliProven experience with ELT and ETL pipelines and orchestration tools such as Airflow and dbt /liliExperience working with modern cloud data platforms such as Snowflake, xgiwjmb Databricks or GCP /liliStrong understanding of data quality, observability and monitoring practices /liliExperience driving cost optimisation within cloud data environments /liliConfident communicator, able to translate technical concepts to senior stakeholders /liliTrack record of balancing leadership, delivery and hands-on technical contribution /li /ulpbWhat They Offer /b /pulliCompetitive salary aligned with senior leadership scope /liliOpportunity to lead a high-performing data engineering function /liliStrong focus on career development and leadership growth /liliCollaborative and data-driven working environment /li /ulbr