Описание:The Knot Worldwide helps people plan meaningful celebrations and supports small business owners in growing and scaling their businesses. Its data team builds data foundations that power trusted analytics, intelligent ML/AI systems, and scalable business growth.Задачи:Design, build, and maintain scalable end-to-end data pipelines for large and complex datasetsCollect, process, and analyze website behavior, customer, transactional, and other business data using Airbyte, Python, and dbtWrite SQL-based data transformations and ensure data is clean and ready for analysisApply dimensional modeling techniques to design tables and views for an enterprise data modelDevelop and support complex ETL infrastructureParticipate in the architecture and strategy for end-to-end data pipeline deploymentPartner with Data Platform Engineering Teams to define business logic and move data pipelines into productionPartner with Managers and Leads to define best practices, templates, and scalable dbt codeImprove the performance of existing models, pipelines, and data applicationsFoster data governance practices, ensure data privacy and security, and document pipelines, transformations, and modelsUnderstand business processes and apply this knowledge to solve problemsWork with end users and stakeholders to understand their needsProvide insights and train users on Information Mart models, data applications, and actionable resultsScope, track, execute,



and communicate projects in an Agile environmentMentor Data Engineering team members and provide technical leadership and guidanceOversee top-of-funnel metrics for at least one Business Domain and maintain consistency across models and reportingТребования:Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field3+ Years of experience in data model, data pipeline, data management, administration, and supportExperience building data models, data pipelines, and data warehousesAdvanced SQL and dbt modeling skillsStrong Python skillsSolid understanding of modern data engineering and architecture conceptsKnowledge of data warehousing, data pipelines, data marts, semantic layers such as Cube, and cloud data integrationSolid understanding of Paid Media performance metricsAbility to convert marketing and business process requirements into data pipeline designs and modelsAbility to work independently and collaborativelyStrong organizational, troubleshooting, interpersonal, and communication skillsAttention to detail and ability to detect and explain data anomaliesAbility to explain complex data insights to non-technical stakeholdersFluent spoken and written EnglishNice to have: Experience with Airbyte and Airflow, Qlik, Tableau, Power BI, Looker, or Streamlit, Agile methodology, and JIRAУсловия:Adaptable vacationGenerous parental leaveMental wellbeing, physical health, and financial planning offeringsPerks and discountsEmployee growth, development, and wellbeing initiativesOffice attendance two days a week as part of the hybrid work model
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📌 data engineer for business analytics (Barcelona)
🏢 Enfint
📍 Barcelona