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Senior Data Engineer

External
Sigmasoftware2 logoSigmasoftware2 · Warsaw, Poland
Full-timeRemote2d ago
AirflowApacheAWSAzureCI/CDData Warehousing
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About the role

Design and build scalable, cloud-native data platforms from greenfield to production Implement near-real-time ingestion pipelines using event-driven patterns Define and enforce platform standards, including Data Lake / Lakehouse principles, medallion architecture, and data contracts Refactor and optimise existing Spark and PySpark scripts for performance and maintainability Introduce best practices for code quality, testing, and CI/CD across data pipelines Drive adoption of AI tooling and agentic workflows within the data engineering team Ensure data quality, observability, and reliability across all pipelines and platforms Develop self-service tooling and microservices to simplify platform usage for other teams 5+ years of professional experience in Data Engineering Strong Python and SQL development skills for pipeline development and optimisation Proficiency in Apache Spark / PySpark, including query optimisation and performance tuning Hands-on experience with Databricks (preferred) or Snowflake Experience with at least one major cloud provider: Azure (preferred), AWS, or GCP Experience with stream processing technologies (Kafka, Spark Structured Streaming) Solid understanding of ETL/ELT patterns, data modelling (dimensional, Data Vault), and data warehousing Experience with orchestration tools (Apache Airflow, Azure Data Factory, or equivalent) Knowledge of Infrastructure as Code (Terraform or equivalent) Understanding of production-grade system requirements: reliability, scalability, observability, and performance Upper-Intermediate English level WILL BE A PLUS Familiarity with RAG pipeline design and LLM integration patterns Knowledge of data governance frameworks and tools (Unity Catalog, Apache Atlas, or similar) Experience with dbt for data transformation and modelling Familiarity with MLflow, Feature Stores, or ML platform integration PERSONAL PROFILE Self-driven and proactive in identifying improvements Comfortable working in a fast-paced, innovative environment Strong problem-solving mindset with attention to detail Open to experimenting with emerging technologies and approaches


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