
1001 - 5000 employees
Founded 2008
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.
🕒 December 11, 2025
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1001 - 5000 employees
Founded 2008
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.
• Design, model, and develop the complete GCP data ecosystem for a client, including Cloud Storage, Cloud Functions, and BigQuery • Gather, analyze, model, and document business and technical requirements • Maintain direct contact with clients • Model data from various sources and technologies • Troubleshoot and support complex, high-impact problems • Deliver new features and functionalities • Design and optimize data storage architectures, including data lakes, data warehouses, and distributed file systems • Implement partitioning, compression, and indexing to optimize data storage and retrieval • Identify and resolve bottlenecks, tune queries, and implement caching strategies • Monitor system performance, identify anomalies, and conduct root cause analysis • Resolve issues related to data processing, storage, and infrastructure • Train and mentor less experienced data engineers
• Active sole proprietorship (B2B) required throughout the duration of the agreement • At least 8–10 years of experience as a Data Engineer • 6+ years of experience in GCP cloud-based infrastructure and systems • Deep knowledge of Google Cloud Platform and cloud computing services • Extensive experience designing, building, and deploying cloud data pipelines • Experience ingesting data from databases, APIs, or streaming platforms • Proficiency with SQL, including BigQuery, and NoSQL database management systems • Programming skills in SQL, Python, and other scripting languages • Proficiency in data modeling, database optimization, query optimization, indexing, and performance tuning • Knowledge of at least one orchestration and scheduling tool; Airflow is required • Experience with ETL and ELT data integration techniques • Knowledge of modern data transformation tools such as dbt and Dataform • Ability to collaborate with data scientists, analysts, and business stakeholders • Ability to explain technical concepts clearly to non-technical stakeholders • Ability to participate in or lead client discussions • Knowledge of Git, Jira, and Confluence • Experience in multinational environments and distributed teams • Willingness to learn new technologies and solutions
• Open-ended freelance agreement • Flexible collaboration model and working hours • Remote work policy • Equipment provided by the company; virtual machine access may be provided depending on the project • Flexible project participation; ability to decline projects without terminating the agreement • Diverse, inclusive, and values-driven community • Autonomy to choose the way you work
Apply Now🕒 November 21, 2025
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