Data Platform Engineer, GCP

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InnoData

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2019

🤝 B2B

💼 Consulting

🌍 Social Impact

B2B • Consulting • Social Impact

InnoData is INNOvation DATA SCS, an Italian social cooperative based in Foggia that identifies itself as a provider of technological solutions. The company website (currently under maintenance) highlights "Soluzioni tecnologiche" (technological solutions) and emphasizes social impact ("Impatto sociale"). Contact details listed include Via Francesco Crispi 65, 71121 Foggia, Italy. Based on the available information, InnoData appears to operate at the intersection of technology and social impact, likely offering tech-focused services to other organizations.

📋 Description

• Support and maintain production GCP data platforms, pipelines, and workflows across batch and streaming workloads • Support Cloud Composer / Apache Airflow workflows, troubleshooting DAG failures, dependencies, scheduling, retries, latency, and SLA issues • Optimize Airflow DAGs and orchestration workflows for reliability, execution time, recoverability, and operational efficiency • Troubleshoot pipeline failures, data latency, performance degradation, configuration problems, and infrastructure issues • Monitor platform health and improve reliability, scalability, performance, and operational efficiency • Optimize pipelines and workloads to improve refresh times, throughput, query performance, and platform stability • Support platform, infrastructure, configuration, and dependency upgrades while maintaining production stability and compliance • Perform root-cause analysis and implement sustainable fixes for recurring production issues • Support IAM, access controls, monitoring, alerting, logging, and operational governance • Collaborate with client and cross-functional Data Engineering, BI/Analytics, Application Engineering, Infrastructure, and Platform teams • Adapt to client-specific engineering, security, compliance, review, and operational processes • Review architectures and recommend incremental improvements • Create and maintain technical documentation, operational runbooks, troubleshooting guides, and platform support procedures

🎯 Requirements

• 3–7+ years of experience in Data Engineering, Cloud Engineering, Platform Engineering, or a related role • Strong hands-on experience building, supporting, or maintaining production workloads on Google Cloud Platform (GCP) • Strong experience with BigQuery and Cloud Spanner • Hands-on experience with Dataflow, Pub/Sub, batch/streaming data pipelines, and Cloud Composer / Apache Airflow • Strong Python and SQL skills • Understanding of GCP IAM, service accounts, permissions, monitoring, logging, alerting, and production operations • Experience troubleshooting complex production environments and performing root-cause analysis • Understanding of data ingestion, transformation, orchestration, data quality, performance optimization, and reliability • Ability to understand existing systems, codebases, pipelines, configurations, and client-specific tools and workflows • Strong communication and collaboration skills across engineering and business teams • Preferred: experience with large-scale business-critical platforms, App Engine, Cloud Run, GKE, CI/CD, DevOps, Terraform, data observability, automated data-quality monitoring, Vertex AI, and enterprise analytics tooling