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Open nowPosted 205 days ago

DevOps HSBCJP00057554

antalpl1,061 open roles

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Your applicationOpen nowDevOps HSBCJP00057554antalpl

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. antalpl postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 205 days ago

antalpl median: 1 days open

The posting

DevOps Cloud Engineer (GCP / Data Platform / Airflow) 📍 Hybrid (2 days per week from Cracow)

We are looking for an experienced DevOps Cloud Engineer to join a team responsible for building and evolving a scalable, multi-tenant data integration platform on Google Cloud Platform (GCP).

The platform leverages Apache Airflow to orchestrate ETL/ELT pipelines, enabling reliable data movement from source systems through the platform into downstream vendor systems. A key focus of the role is improving automation, deployment pipelines, and implementing end-to-end data lineage for full visibility of data flows.

Key responsibilities

  • Design, develop, test, and maintain ETL/ELT pipelines orchestrated via Apache Airflow (DAGs)
  • Build and enhance platform capabilities supporting multi-tenant data integration use cases
  • Design and implement scalable deployment pipelines for Apache Airflow environments
  • Develop and optimise SQL-based transformations and integrations, including work with Google BigQuery
  • Implement data lineage capabilities to enable end-to-end traceability of data flows
  • Automate operational and engineering processes to improve reliability, scalability, and efficiency
  • Build and maintain test automation frameworks (regression and performance testing)
  • Work in an Agile delivery environment, contributing to iterative development and continuous improvement
  • Troubleshoot complex issues across infrastructure, pipelines, and data flows; drive root cause analysis and preventive solutions
  • Collaborate with engineers, product stakeholders, and partner teams to ensure alignment and delivery

Required skills & experience

  • 10+ years of experience in software engineering, DevOps, and/or cloud engineering roles
  • Strong hands-on experience with Google Cloud Platform (GCP), including BigQuery and related services
  • Proven experience building and maintaining ETL/ELT pipelines using Apache Airflow (DAG design, scheduling, monitoring, scaling)
  • Advanced SQL skills for data transformation, validation, and performance optimisation
  • Experience designing multi-tenant architectures and scalable, resilient platforms
  • Strong background in CI/CD and deployment automation, ideally for data platforms or Airflow environments
  • Experience with test automation, including regression and performance testing frameworks
  • Solid understanding of data concepts: data quality, metadata, governance, and data lineage
  • Familiarity with data visualisation tools for operational or lineage insights
  • Strong problem-solving skills with a focus on automation and reliability improvements
  • Excellent communication skills and ability to work in cross-functional Agile teams
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