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Data Engineer GCP Mexico

Lingaro · AI Consulting & Integration · Analytics & BI Consulting · Python · SQL · Power BI · ETL/ELT · Talend · Alteryx · Looker · 2 months ago

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Salary

≈ $29k – $79k per year (Estimated)

Location

Remote (Mexico)

Seniority

Middle · 4+ years exp

Employment

Full-Time

Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Sep 9, 2026. Lingaro scores A on the Alion truth index.

Overview

Company

Impact

Profile match

Lingaro

Lingaro is a Warsaw technology company founded in 2008 and specialised in data and analytics engineering. It builds data platforms, business intelligence and artificial intelligence solutions for global consumer goods, pharmaceutical and retail groups. The company employs thousands of specialists across Europe and Asia.

lingarogroup.com · HQ: Warsaw, Poland · AI Consulting & Integration · Analytics & BI Consulting · Data Engineering & Migration Services · 51-200 employees · Est. 2008

Tech stack of Lingaro

Must have:

At least 4 years of experience as a Data Engineer working with GCP cloud-based infrastructure & systems.
Deep knowledge of Google Cloud Platform and cloud computing services.
Extensive experience in design, build, and deploy data pipelines in the cloud, to ingest data from various sources like databases, APIs or streaming platforms.
Proficient in database management systems such as SQL (Big Query is a must), NoSQL. Candidate should be able to design, configure, and manage databases to ensure optimal performance and reliability.
Programming skills (SQL, Python, other scripting).
Proficient in data modeling techniques and database optimization. Knowledge of query optimization, indexing, and performance tuning is necessary for efficient data retrieval and processing.
Knowledge of at least one orchestration and scheduling tool (Airflow is a must).
Experience with data integration tools and techniques, such as ETL and ELT Candidate should be able to integrate data from multiple sources and transform it into a format that is suitable for analysis.
Knowledge of modern data transformation tools (such as DBT, Dataform).
Excellent communication skills to effectively collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders. Ability to convey technical concepts to non-technical stakeholders in a clear and concise manner.
Ability to actively participate/lead discussions with clients to identify and assess concrete and ambitious avenues for improvement.
Tools knowledge: Git, Jira, Confluence, etc.
Open to learn new technologies and solutions.
Experience in multinational environment and distributed teams.

Good to have:

Certifications in big data technologies or/and cloud platforms.
Experience with BI solutions (e.g. Looker, Power BI, Tableau).
Experience with ETL tools: e.g. Talend, Alteryx
Experience with Apache Spark, especially in GCP environment.
Experience with Databricks.
Experience with Azure cloud-based infrastructure & systems.

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