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Senior Data Platform Engineer

4 tygodni temu


Warszawa, mazowieckie, Polska Sii Pełny etat

We’re looking for an experienced data professional to take ownership of our Azure-based data platforms, including Databricks, Snowflake, and Azure Data Factory. In this role, you’ll play a key part in designing, automating, and optimizing cloud data infrastructure that supports global analytics and data science initiatives. If you’re passionate about scalable data solutions, automation, and cloud governance — we’d love to hear from you.


Your tasks

  • Administer and optimize Azure Databricks and Snowflake platforms, ensuring scalability, reliability, and governance

  • Design and manage Azure Data Factory pipelines for batch and streaming workloads

  • Implement and maintain RBAC, access controls, and data governance standards

  • Automate workflows and platform operations using Python, PySpark, SQL, and PowerShell

  • Monitor platform health, performance, and costs; apply FinOps principles for optimization

  • Troubleshoot and resolve platform issues, maintaining documentation and runbooks

  • Collaborate with Data Engineering and Architecture teams to enhance platform efficiency

  • Ensure compliance with security, audit, and governance best practices across global environments


Requirements

  • At least 5 years of experience in data platform engineering or administration

  • Strong hands-on expertise with Azure Databricks, Snowflake, and ADF

  • Proficiency in Python, PySpark, SQL, and scripting (PowerShell/Bash)

  • Solid understanding of Azure services (ADLS, Function Apps, Key Vault, Networking)

  • Experience with data orchestration tools (e.g., Apache Airflow) and automation

  • Familiarity with CI/CD and Infrastructure as Code (Terraform/ARM)

  • Strong grounding in data governance, security, and cost management

  • Exposure to incident management tools and Agile delivery environments

  • Very good communication skills in both English and Polish

  • Residing in Poland required


Nice-to-have requirements

  • Experience with FinOps, audit/compliance frameworks, and regulated environments

  • Knowledge of DevOps practices for data engineering

  • Familiarity with Agile tools (JIRA, Confluence)

  • Microsoft Azure certifications (DP-203, AZ-204, AZ-104, AZ-305)