Senior Data Engineer

6 days ago Be among the first 25 applicants

What We Do Matters

At TKWW, we champion the power of celebration! Each year, we help millions of couples around the world celebrate the moments that make us. When you join our global team, you join a diverse group of individuals passionate about serving our couples and business partners in more than 15 countries worldwide —including The Knot, WeddingWire, Bodas, The Bash, The Bump, and more. We help people take celebration planning from inspiration to action. When you work for TKWW, you can be sure you will have a team working alongside you that doesn’t just care about the work you do but also the life that you live. We focus on the well-being and development of our employees through various opportunities and celebrate milestones and wins in a big way. After all, celebrations are what we do best.

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 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.

Minimum Requirements

• Bachelor’s degree (Computer Science, Engineering, Information Systems or relational functional field).
• 4+ 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 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 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 is a plus.
• Work with Agile methodology and JIRA are a plus.
• Our international work environment requires fluency in spoken and written English.

What We Love About You

• You Dream Big. You iterate and experiment to drive innovation.
• You Love Our Users. You keep our global community at the center of everything you do.
• You Do the Right Thing. You strengthen your team through respect, fairness, and inclusion.
• You Hustle Every Day. You favor urgency and own your outcomes.
• You Win Together. People are at the heart of our success and you play as a team.

What You Love About Us

We believe in a wide range of holistic offerings to support our employees so that they can live our values day in and day out. From mental wellbeing, physical health and financial planning, to engaging perks and discounts, we are in the business of celebrating and supporting the Moments that Matter both in and out of the “office”. We offer flexible vacation, generous parental leave and prioritize initiatives that support the growth, development, and happiness of our people.

To facilitate in-person collaboration, we have office spaces in Barcelona, Spain; Delhi, India; Galway, Ireland; London, England; New York, NY; and Washington, D.C.

US Notice : The Knot Worldwide provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, or disability. In addition to federal law requirements, The Knot Worldwide complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. The Knot Worldwide expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

Privacy Notice : TKWW processes your personal data as part of the recruitment process, based on the legal basis of executing pre-contractual measures at your request. This means we use your information to assess your application and carry out the necessary steps for a potential employment contract. Only the information strictly necessary for evaluating your application is collected. You can request access, rectification, or deletion of your data. For more information on how we handle your personal data, please refer to our Privacy Policy. If you wish to file a complaint, you may contact the competent data protection authority.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology
• Technology, Information and Internet

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