team.it

Data engineer

In short

This Data Engineer role involves designing and maintaining scalable data pipelines, writing complex ANSI SQL, and building analytical models in Google BigQuery, plus delivering reporting solutions through Power BI. It's a hybrid position in Lisbon with a consulting-style company emphasizing a horizontal structure and personalized support. The role requires 3-5 years of relevant experience, strong SQL and BigQuery skills, Power BI reporting experience, and C1-level English.

Description:
We want to do things differently, focusing on what truly matters. We return to our roots with a sustainable corporate strategy at our core. Work-life balance, beginner's mind, and community involvement are our identity and our starting point for this journey.
Responsibilities:
•Design, develop, and maintain scalable data pipelines and data integration processes using modern cloud technologies.
•Develop, optimize, and troubleshoot complex ANSI SQL queries to support analytical and reporting needs.
•Build and maintain datasets and analytical models within Google BigQuery.
•Collaborate with business stakeholders to deliver reliable and actionable reporting solutions through Power BI.
•Ensure data quality, consistency, and governance across data platforms and reporting layers.
•Monitor data processing workflows and proactively resolve data-related issues.
Requirements:
•3 to 5 years of experience as a Data Engineer or similar role.
•Strong expertise in ANSI SQL, including performance tuning and complex transformations.
•Hands-on experience with Google BigQuery for data storage and analytics.
•Professional experience developing dashboards and reports using Power BI.
•Knowledge of data modeling principles and data warehousing concepts.
•Experience designing and maintaining ETL/ELT processes.
•Strong analytical and problem-solving skills.
•Ability to work collaboratively with technical and business teams.
•Excellent communication skills in English at C1 level.
Nice to have:
•Experience with cloud-based data platforms and modern analytics ecosystems.
•Knowledge of data governance and data quality frameworks.
•Experience with Python for data processing and automation.
•Exposure to Agile delivery methodologies.
•Experience working in enterprise-scale data environments.
Conditions:
•Horizontal structure. Everyone has a voice and is heard. We are looking for ambitious people who want to help us achieve what has not yet been done.
•Personalized support. We value close and regular follow-up. We are a team from day one.
•Comprehensive and flexible benefits package. Health insurance, life insurance, discounts and perks, telecommunications plan, and much more.
•Investment in learning and career development. Certified training, online learning platforms, Pearson VUE exam center… we invest in you!
•Sustainability and community involvement. We want meaningful work and to invest in an inclusive consulting project—and we need your help to make it happen.

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