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GCP Data Engineer

Coltechglobal — Germany · Posted ~2 hours ago

Mid Contract

Skills

Google Cloud Platform BigQuery Dataflow Apache Beam Pub/Sub Cloud Storage Python SQL ETL ELT Data pipelines Data modelling Data warehousing Terraform Infrastructure as Code

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Summary ✨ AI‑Generated

A major financial-sector transformation programme is building a team of GCP Data Engineers to develop modern cloud data platforms. You will design scalable batch and real-time pipelines, build BigQuery-based platforms, integrate multiple data sources, improve reliability and data quality, and automate cloud infrastructure with Terraform.

Highlights

Work on a large-scale cloud and data transformation programme in a modern Google Cloud environment. The role covers scalable data platforms, batch and real-time processing, production-grade pipelines, infrastructure automation, and data systems supporting critical financial analytics.

Description

We've just secured a major project with a fintech client based in Germany. As a result, we're building a network of GCP Data Engineers to support a large-scale data and cloud transformation programme. This is an opportunity to work within a modern Google Cloud data environment, helping build and scale the data platforms that power critical financial products, analytics and decision-making across the business. We're looking for experience in: Google Cloud Platform (GCP)BigQueryDataflow / Apache BeamPub/SubCloud StoragePython & SQLETL / ELT & Data PipelinesData Modelling & Data WarehousingTerraform / Infrastructure as Code You'll be working on: Designing and building scalable data pipelines on GCPDeveloping modern data platforms using BigQueryBuilding batch and real-time data processing solutionsIntegrating data from multiple systems and applicationsImproving data quality, performance and reliabilityAutomating cloud data infrastructure and deploymentsSupporting high-volume, production data environments