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Data Engineer

hace 4 meses

Barcelona, España The Knot Worldwide A tiempo completo

**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 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 and Revenue).

We see a 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 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 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 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
- 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.
- 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

**SUCCESSFUL DATA ENGINEER CANDIDATES HAVE**:

- Bachelor’s degree (Computer Science, Engineering, Information Systems or relational functional field)
- 2+ years experience including design, development, data management, administration and support building data models, data pipelines, data warehousing (Snowflake preferred)
- Proficiency in modeling using SQL and dbt, strength in Python
- 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.
- Strong organizational and troubleshooting skills with attention to detail, curiosity to detect and explain data anomalies.
- Excellent communication skills, with the ability to explain complex data insights to non-technical stakeholders
- Our international work environment requires fluency in spoken and written English.