Senior Data Engineer

The Knot Worldwide; Barcelona; Híbrido; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

The Knot Worldwide is seeking a Senior Data Engineer in Barcelona, a hybrid role within our Data Team. You will own end-to-end data pipelines, model business processes, and enable self-service analytics for product, marketing, and revenue domains.

You will work with dbt, Airbyte, Airflow, SQL, and Python to build scalable data infrastructure and mentor other engineers in a collaborative, data-driven culture.

Formación

• Bachelor's degree in Computer Science, Engineering or related field.
• 3+ years building data models, pipelines and data warehousing (Snowflake preferred).
• Advanced SQL and dbt; Python; Airbyte and Airflow a plus.
• Marketing domain knowledge: Paid media metrics.
• Strong cross-functional collaboration and communication.

Responsabilidades

• Design, build, and maintain end-to-end scalable data pipelines for diverse data sources.
• Apply dimensional modeling to map business processes into a data model.
• Develop and support robust ETL to deliver clean data for analytics.
• Contribute to architecture and strategy for data pipelines deployment.
• Partner with Data Platform Engineering to move pipelines into production.
• Set best practices and reusable templates for dbt-based code.
• Improve performance and tuning of models and data apps.
• Foster data governance and protect privacy with clear documentation.

Conocimientos

SQL

Python

dbt

Airbyte

Airflow

Data modeling

Data pipelines

Mentoring

Agile

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Airbyte

Airflow

dbt

Descripción del empleo

In more than ten countries around the world, The Knot Worldwide champions the power of celebration. Our global family of brands provide best-in-class products, services and content to take celebration planning from inspiration to action. At the core of our business is our industry-leading global online wedding Vendor Marketplace, connecting couples with local wedding professionals and a comprehensive suite of personalized wedding websites, planning tools, invitations, and registry services that make wedding planning easier for couples around the globe. Each year, we connect more than 4.5 million users with around 900,000 global small businesses through our Vendor Marketplace.

LIFE AT TKWW

At The Knot Worldwide, we believe in doing work that matters. Each year, we help millions of couples around the world celebrate life’s most meaningful moments, while also helping hundreds of thousands of global small business owners get discovered and scale. Life here means working alongside a team that cares deeply, not just about the work you do, but about the life you live. We prioritize employee well-being and development through meaningful opportunities for growth, and we celebrate milestones and wins in a big way. After all, celebrations are what we do best.

ABOUT THE ROLE AND OUR 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 aSenior Data Engineer supporting end-to-end data pipelines for our business.

A top priority for the company this year is to establish a robust data foundation to power trusted analytics, intelligent ML/AI systems, and scalable business growth. 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 and Revenue).

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 transformation, data modeling, but also collaboration skills and business acumen as they play a crucial role in enabling data-driven decision-making within our organization.

RESPONSIBILITIES:

• Design, build, and maintenance of end-to-end scalable data pipelines to collect, process, and analyze large and complex datasets from various sources, including but not only, 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
• 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 Manager / 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 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 and ensure consistency in their usage across models and reporting by maintaining great documentation
  

ABOUT US

In more than ten countries around the world, The Knot Worldwide champions the power of celebration. Our global family of brands provide best-in-class products, services and content to take celebration planning from inspiration to action. At the core of our business is our industry-leading global online wedding Vendor Marketplace, connecting couples with local wedding professionals and a comprehensive suite of personalized wedding websites, planning tools, invitations, and registry services that make wedding planning easier for couples around the globe. Each year, we connect more than 4.5 million users with around 900,000 global small businesses through our Vendor Marketplace.

LIFE AT TKWW

At The Knot Worldwide, we believe in doing work that matters. Each year, we help millions of couples around the world celebrate life’s most meaningful moments, while also helping hundreds of thousands of global small business owners get discovered and scale. Life here means working alongside a team that cares deeply, not just about the work you do, but about the life you live. We prioritize employee well-being and development through meaningful opportunities for growth, and we celebrate milestones and wins in a big way. After all, celebrations are what we do best.

ABOUT THE ROLE AND OUR 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 aSenior Data Engineer supporting end-to-end data pipelines for our business.

A top priority for the company this year is to establish a robust data foundation to power trusted analytics, intelligent ML/AI systems, and scalable business growth. 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 and Revenue).

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 transformation, data modeling, but also collaboration skills and business acumen as they play a crucial role in enabling data-driven decision-making within our organization.

RESPONSIBILITIES:

• Design, build, and maintenance of end-to-end scalable data pipelines to collect, process, and analyze large and complex datasets from various sources, including but not only, 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
• 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 Manager / 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 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 and ensure consistency in their usage across models and reporting by maintaining great documentation
  

SUCCESSFUL SENIOR DATA ENGINEER CANDIDATES HAVE:

• Location: Barcelona, Spain — hybrid role
• Bachelor’s degree (Computer Science, Engineering, Information Systems or relational functional field)
• 3+ years experience including design, development, data management, administration and support building data models, data pipelines, data warehousing (Snowflake preferred)
• Advanced proficiency in modeling using SQL and dbt, strength in PythonExperience in data ingestion & 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, semantic layers like Cube, and data integration techniques and tools mostly in cloud infrastructure.
• Marketing Domain Knowledge: Solid understanding of Paid Media performance metrics and the ability to convert complex marketing requirements into end-to-end data pipeline designs.
• 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 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