Senior Data Engineer

📋 Description

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• Design, build, and maintain scalable data platforms, pipelines, and warehouses using SQL, Python, Spark.
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• Build efficient data solutions, optimize performance, and ensure seamless data integration.
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• Design data pipelines and ETL for large-scale ingestion and transformation.
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• Develop data platforms and warehousing to support analytics and BI.
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• Collaborate with data scientists, analysts, and stakeholders to translate requirements into data solutions.
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• Ensure data quality, governance, and compliance across systems.
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🎯 Requirements

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• 6+ years' experience as a Senior Data Engineer in data engineering.
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• Practical experience in agile environments.
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• Hands-on with SQL, Python, and Spark for large-scale data processing.
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• Databricks experience.
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• Strong data warehousing expertise (Snowflake, Redshift, BigQuery).
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• Experience with cloud data solutions (AWS, Azure, GCP) and data lake architectures.
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• CI/CD for data pipelines and Infrastructure as Code (IaC).
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• Git and code review; collaborative software practices.
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🎁 Benefits

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• Annual company bonus with profit sharing.
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• Remote work and flexible schedule.
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• Paid time off: 25 days plus holidays.
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• Remote working allowance up to €1250 every 2 years.
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• Training and development allowance up to €1000.
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• Healthcare, pension, and insurance benefits.
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