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Open nowPosted 4 hours ago

Senior Data Platform Engineer CR 12/11/26

MARGO61 open roles

Pay
PLN 180 – PLN 200 an hour
Where
Warsaw
Work mode
Remote
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Your applicationOpen nowSenior Data Platform Engineer CR 12/11/26MARGO · Warsaw

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. MARGO postings stay open a median of 24 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted 4 hours ago

MARGO median: 24 days open

The posting

We are looking for a Senior Data Platform Engineer to help drive the evolution of our Azure-based Data Platform and Lakehouse architecture.

This role is focused on the platform itself. The professional will own and evolve the foundations that data product teams build on: Apache Airflow orchestration (migrating from ADF), Azure resource management (Key Vault, identity and access, networking, storage), Azure DevOps CI/CD and Infrastructure as Code, Databricks and Unity Catalog governance, observability and cost efficiency, while remaining hands-on and close to the teams that use the platform.

Key Responsibilities

  • Own the Apache Airflow platform: environments, deployment, upgrades, configuration, connections, variables, pools and DAG standards.
  • Work on the migration from Azure Data Factory to Airflow and the evolution of the Metadata-Driven Orchestration Framework (DAG generation, reusable operators, dependency and scheduling patterns).
  • Ensure Airflow is reliable and observable: SLAs, alerting, retries, backfills, health monitoring and clear failure ownership.
  • Manage Azure resources with Infrastructure as Code (Terraform): Databricks workspaces, Data Lake Storage, Data Factory, Key Vault, networking and supporting services.
  • Own secrets and identity management: Key Vault, service principals and managed identities, secret scopes and rotation.
  • Own access management: Azure RBAC, Entra ID groups, Unity Catalog grants and ownership, following least privilege, plus access requests and periodic reviews.
  • Own Azure DevOps: repositories, CI/CD pipelines, branch policies and multi-environment promotion, including deployment validation and Terraform state.
  • Track cost and governance of Azure resources: tagging, budgets, right-sizing and cost attribution (e.g. query tagging).
  • Contribute to the implementation of the Data Catalog and Data Quality Framework and it’s lineage across the platform.
  • Drive observability: pipelines that are observable, debuggable and alert-driven, with clear ownership of failures.
  • Operate the Databricks platform: Unity Catalog structure, cluster and job policies, Auto Loader ingestion patterns, and performance and cost optimization of workloads.
  • Participate in architecture reviews and technical decision-making, stating trade-offs (performance, cost, reliability, complexity) with data.
  • Define and promote engineering standards: naming conventions, patterns and guidelines, through code reviews and design reviews.
  • Collaborate with Architects, Product Owners and data engineers in technical maturation of data products.
  • Build and maintain developer tooling and automation, including AI-assisted engineering workflows (shared agent instructions, skills, automated PR review).
  • Provide second-line support to the Run/Operations team for complex production topics.
  • Troubleshoot and resolve platform incidents, failures and performance issues; lead root cause analysis and post-mortems.
  • Ensure proper handover, documentation and operational readiness of platform changes.
  • Continuously improve runbooks, monitoring and operational processes.
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