Senior Data Engineer

Job not on LinkedIn

🔥 19 hours ago

🇵🇱 Poland – Remote

💵 zł180 - zł200 / hour

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 1%

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MARGO

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2005

💼 Consulting

🛡️ Insurance

📦 Logistics

Consulting • Insurance • Logistics

MARGO is a digital consulting firm specializing in high-complexity IT missions across various sectors. As data, AI, and digital experts, MARGO partners with ambitious clients to drive progress through digital transformation. With a focus on industries such as finance, insurance, energy, and technology, MARGO provides expertise in artificial intelligence, cloud transformation, data architecture, and software engineering.

📋 Description

• Implement scalable, reliable and reusable data pipelines using Azure Data Factory and Apache Airflow • Develop data transformations in Azure Databricks using PySpark and SQL • Create and extend data products following Bronze, Silver, and Gold Medallion Architecture layers • Optimize performance, cost, and reliability of data workloads • Raise important questions during business maturation to detect risks before development • Participate in architecture reviews and technical decision-making • Promote engineering excellence through code reviews and design reviews • Collaborate with Architects and Product Owners in data product technical maturation • Support the Run/Operations team for production pipelines and data products • Troubleshoot and resolve data incidents, failures, and performance issues • Participate in incident management, root cause analysis, and post-mortems • Ensure proper handover, documentation, and operational readiness of developed solutions • Contribute to improving runbooks, monitoring, and operational processes

🎯 Requirements

• 6+ years of experience in data engineering • Strong technical expertise in Python (PySpark) • Advanced SQL skills • Hands-on experience with Azure-based Data Platform • Experience with Databricks • Experience with Unity Catalog • Experience with Apache Airflow • Experience with Azure Data Factory • Experience with reporting and BI tools such as Power BI, Tableau or similar • Solid understanding of data modelling fundamentals, main architectures and design patterns • Knowledge of Data Warehouse, Data Lake and Data Lakehouse architectures • Knowledge of Medallion architecture • Knowledge of metadata-driven architecture • Knowledge of ETL/ELT design patterns • Understanding of partitioning, optimization, and performance • Understanding of batch and streaming pipelines

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