GCP Data Engineer – Freelance

🕒 September 16

🇵🇱 Poland – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Lingaro

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Design, model, and develop a complete GCP data ecosystem for a client using 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 while delivering new features and functionality • Design and optimize data storage architectures, including data lakes, data warehouses, and distributed file systems • Implement partitioning, compression, indexing, query tuning, and caching strategies to improve data storage and retrieval • Identify and resolve data processing, storage, and infrastructure issues • Monitor system performance, identify anomalies, and conduct root-cause analysis • Train and mentor less experienced data engineers

🎯 Requirements

• 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 designing, building, and deploying cloud data pipelines ingesting data from databases, APIs, or streaming platforms • Proficiency in SQL, BigQuery, NoSQL, Python, and other scripting • Proficiency in data modeling, 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 • Excellent communication skills and ability to collaborate with data scientists, analysts, and business stakeholders • Ability to participate in or lead client discussions to identify improvement opportunities • Knowledge of Git, Jira, and Confluence • Openness to learning new technologies and solutions • Experience in multinational environments and distributed teams • Certifications in big data technologies or cloud platforms preferred • Experience with BI solutions such as Looker, Power BI, or Tableau preferred • Experience with Talend or Alteryx preferred • Experience with Apache Spark, Databricks, or Azure preferred

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