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hace 1 semana
Here at The Knot Worldwide, we believe in doing work that matters. In more than 16 countries around the world, The Knot Worldwide’s leading family of brands—including The Knot, WeddingWire, Bodas, The Bash, The Bump, and more—help people take celebration planning from inspiration to action. When you join our global team, you’ll be a part of a diverse group of individuals passionate about serving and enabling our communities to celebrate the moments that make us.ABOUT THE ROLE AND YOUR TEAM:The Knot Worldwide’s Data team is looking for a highly motivated, highly energetic team-player with a strong analytical mindset to join as a Senior Data Engineer supporting end-to-end data pipelines for our business. This role will be partnering closely with our stakeholders and also with other Data teams to develop data models and data-driven solutions that enable deep analysis and self-service analytics for our Business Domains (Product, Marketing, Revenue, and Core).We see a Senior Data Engineer as a hybrid role that combines mostly data engineering skills but also having the ability to pivot through business intelligence or reporting models. You will be responsible for building (leading) end-to-end data pipelines using tools like dbt, airbyte, airflow, and other modern data stack. This role requires proficiency in SQL, Python, data modeling, data transformation, data visualization, but also collaboration skills and business acumen as they play a crucial role in enabling data-driven decision-making within our organization.The position is based at Wedding Planner’s head office in Barcelona. This position offers the flexibility of working remotely. As a Data Engineer, you will have the opportunity to work from your preferred location (Spain), collaborating with a distributed team of professionals. We embrace a remote-first culture that values work-life balance and provides the necessary tools and resources for effective remote collaboration.RESPONSIBILITIES:Design, build, and maintain end-to-end scalable data pipelines to collect, process, and analyze large and complex datasets from various sources, including but not limited to, website visitors behavioral tracking, customer data, transactional data, and other business data using tools like Airbyte, Python, and dbt to write mainly SQL-based data transformations and ensure the data is clean and ready for analysis.Apply dimensional modeling techniques to design tables and views that map business processes into an enterprise data model.Develop and support complex ETL infrastructure to ensure the delivery of clean and reliable data to the organization.Automate manual processes to improve efficiency, robustness, and speed.Participate in overall architecture and strategy for the deployment of our end-to-end data pipelines.Partner with the rest of Data Platform Engineering Teams to provide business logics to design, develop and move data pipelines into production.Partner with Director / Lead to define best practices, templates, scalable code for our tech stack development, mainly in dbt.Assist with performance and tuning of our existing models, pipelines, and data applications.Foster data governance practices, ensuring data privacy and security, and documenting data pipelines, transformations, and models, contributing to maintaining a data-driven culture within the organization.Understand our business and processes including how our data pipelines and data apps support the business processes and apply this knowledge to best solve problems.Work and communicate with end users / stakeholders across the organization to understand their needs, providing insights, training them on the use of the Information Mart models, data applications, or any actionable results in support of decisions.Clearly scope, track, execute, and communicate on projects in an Agile environment.Mentor other Data Engineering team members, provide technical leadership and guidance in data engineering projects and initiatives.Oversee the top of funnel metrics for at least one Business Domain or Pillar and ensure consistency in their usage across models and reporting by maintaining great documentation.SUCCESSFUL SENIOR DATA ENGINEER CANDIDATES HAVE:Bachelor’s degree (Computer Science, Engineering, Information Systems, or a related field).4+ years of experience including design, development, data management, administration, and support building data models, data pipelines, and data warehousing (Snowflake preferred).Advanced proficiency in modeling using SQL and dbt, strength in Python.Experience in data integration orchestration (Airbyte Airflow) is a plus.Solid understanding of modern data engineering and architecture concepts and practices. This includes knowledge of data warehousing, data pipelines, data marts, and data integration techniques and tools mostly in cloud infrastructure.Solid understanding of different business process models and reporting needs and ability to convert requirements into models and end-to-end data pipeline designs.Must be self-motivated and able to work both independently and with others.Versatile and quick learner with the ability to pick up any new skills necessary to get the job done.Positive attitude and ability to receive and provide objective and constructive feedback.Strong organizational and troubleshooting skills with attention to detail, curiosity to detect and explain data anomalies.Strong interpersonal skills with the ability to work effectively in a cross-functional team.Excellent communication skills, with the ability to explain complex data insights to non-technical stakeholders.Experience in different reporting tools or data applications like Qlik, Tableau, Power BI, Looker, Streamlit, etc. is a plus.Experience with Agile methodology and JIRA is a plus.Our international work environment requires fluency in spoken and written English.At The Knot Worldwide, we believe you are more than a resume and invite you to go for it, take the leap of faith, and apply for this job if it sparks your passion to join TKWW and make a difference#J-18808-Ljbffr
