ph3Description /h3ulliDefine and evolve the data architecture, ensuring scalability and alignment with technology plan. /liliDesign and implement the Data Platform (Salesforce Data 360), coordinating implementation partners, Olocip, and internal team. /liliEstablish data governance model: quality, lineage, security, regulatory compliance (GDPR). /liliIn-depth audit of existing solutions: data lake, golden data record, key integrations (SSO, CRM, ERP). /liliGenerate technical documentation as basis for knowledge transfer. /liliAct as PM for complex data projects (Data Platform, Phase 4 of Data Lake, integrations with new ERPs). /liliCoordinate external suppliers and implementers, ensuring compliance with deadlines, technical quality, knowledge transfer. /liliSupport development of reporting layers in Power BI, establishing criteria for data sources and reporting architecture. /liliLead or supervise integrations between data lake and core systems: ERP Finance, ERP Retail, Salesforce CRM and Marketing Cloud. /li /ulh3Qualifications /h3ulliUniversity degree in Computer Engineering, Mathematics, Statistics, Telecommunications or a related discipline. /liliPostgraduate training in Data Engineering, Cloud Architecture or Data Management is an asset. /liliAzure proficiency (Data Lake, Data Factory, Synapse, or equivalent). Azure certifications (AZ-900, DP-203, or equivalent) are differentiating factors. /liliSolid knowledge of SQL and at least one data‑oriented programming language (Python preferred). /liliKnowledge of modern data architectures: medallion architecture, data mesh, lakehouse.



/liliAbility to audit third‑party code, pipelines, and integrations using own criteria. /liliFamiliarity with Salesforce ecosystem (Sales, Marketing Cloud, Data 360) as a data consumption layer. /li /ulh3Essential Experience /h3ulliMinimum 5 years in data engineering, data architecture, or similar roles. /liliDemonstrable experience with Azure Data Lake or equivalent platforms (AWS, GCP) in production environments. /liliExperience designing and implementing data integrations between heterogeneous systems (ERP, CRM, digital platforms). /liliExperience managing or coordinating external data partners/providers. /liliExperience in Power BI projects or other BI/reporting tools connected to complex data layers. /li /ulh3Highly Valued /h3ulliExperience implementing Customer Data Platforms (CDP): Salesforce Data Cloud/Data 360, Segment, mParticle or similar. /liliExperience in entertainment, sports, retail or digital media sectors with high user base and fan/customer behavior data. /liliLed processes of internalizing technical capabilities. /liliExperience building or developing data teams from initial stages. /li /ulh3Skills /h3ulliCommunication with external partners. /liliEffective communication with non‑technical profiles. /liliOwnership mindset: doesn’t delegate what can be resolved, doesn’t scale what can be managed. /liliProactivity. /liliResults‑oriented approach in environments with limited resources and multiple simultaneous priorities. /liliAdaptability. /li /ulh3Level of Experience (years) /h3pSenior (5+ years of experience) /p /p #J-18808-Ljbffr

📌 Lead Data Engineer – Onsite (Barcelona)
🏢 Nlp People
📍 Barcelona