At VISEO, we solve our clients’ challenges across the entire spectrum of digital transformation, guiding them from digital implementations to robust business and technology strategies to drive long-term impact and success.

As a general digital and business consulting company, we aim to be the reference player for the end-to-end digitalisation of international mid-sized companies and the provision of advice and support to large groups in key digital areas. In other words, we speak the language of our clients.

We are looking for a Senior GCP Data Engineer to join our data-driven environment and support business and technical stakeholders by transforming complex data into actionable insights.

Key Responsibilities
Analyze large datasets and translate business requirements into actionable insights, KPIs, and analytical solutions.
Develop and optimize SQL queries in BigQuery, ensuring data accuracy, consistency, and quality.
Collaborate with Data Engineering teams to understand and troubleshoot ETL/ELT processes, data pipelines, and integrations.
Build, maintain,



and validate datasets supporting BI dashboards and reporting using tools such as Power BI, Looker, or Tableau.
Investigate data discrepancies, perform root cause analysis, and support data governance and quality initiatives.
Maintain data documentation, KPI definitions, business rules, mappings, and validation processes.

Experience
3–7 years of experience as a Data Engineer or similar role.
Proven experience working in data-driven environments.
Experience with cloud-based analytics platforms.
Experience working with both business and technical stakeholders.

Technical Skills
Strong SQL expertise.
Hands-on experience with Google BigQuery.
Good understanding of Google Cloud Platform (GCP).
Experience using Python for data analysis, automation, or data manipulation.
Understanding of data integration concepts, including:
ETL / ELT
APIs
Batch processing
Data pipelines
Understanding of data quality, validation, gove

📌 Data Engineer (Ciudad de México)
🏢 VISEO
📍 Ciudad de México