Senior Data Engineer
Advanced Data Solutions Specialist
The Analytics team is seeking a highly skilled individual to support the mission of building a robust data foundation for CRM insights and customer support tools.
Key Responsibilities: - Collaborate with team members to define requirements and translate them into scalable data models and pipelines.
- Develop and maintain
- scale data pipelines, ensuring data reliability and scalability for business reporting and analytics use cases. - Design and optimize complex SQL-based data models using dbt and other ETL tools.
- Identify and implement improvements in data delivery, processing performance, and system efficiency.
- Contribute to the team's technical vision and bring innovative solutions to enhance data systems.
Required Skills and Qualifications: - 5+ years of experience in data engineering, with a focus on building, maintaining, and working with
- scale data pipelines & ETL processes. - Extensive knowledge of SQL, ideally in the context of data modeling and analysis.
- Hands-on production experience with dbt, and proven expertise in modern and classic data modeling techniques.
- Proficiency in programming languages such as Python or similar, with an emphasis on data transformation and automation.
- Experience with cloud columnar databases (Google Big
Query, Amazon Redshift, Snowflake), query authoring (SQL) as well as working familiarity with a variety of databases. - Proven experience in performance testing, capacity planning, and cost optimization for complex data pipelines and systems.
- Excellent communication and collaboration skills.
Benefits:
- scale data pipelines, ensuring data reliability and scalability for business reporting and analytics use cases.
- 5+ years of experience in data engineering, with a focus on building, maintaining, and working with
- scale data pipelines & ETL processes. - Extensive knowledge of SQL, ideally in the context of data modeling and analysis.
- Hands-on production experience with dbt, and proven expertise in modern and classic data modeling techniques.
- Proficiency in programming languages such as Python or similar, with an emphasis on data transformation and automation.
- Experience with cloud columnar databases (Google Big
Query, Amazon Redshift, Snowflake), query authoring (SQL) as well as working familiarity with a variety of databases. - Proven experience in performance testing, capacity planning, and cost optimization for complex data pipelines and systems.
- Excellent communication and collaboration skills.
Benefits:
Zendesk offers a fulfilling and inclusive work environment. Our hybrid way of working enables us to connect, collaborate, and learn while giving our people the flexibility to work remotely for part of the week.
Others:
Zendesk believes in innovation and continuous learning. We encourage our employees to grow professionally and personally.
- Informações detalhadas sobre a oferta de emprego
Empresa: beBeeData Localização: Barreiro
Barreiro, Setubal, PortugalPublicado: 8. 9. 2025
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