Senior Data Engineer
New
D
DCGData engineering
Workplace type: remote; Locations: Warszawa, Towarowa, Warszawa, Country code: PLContractSenior
Salary130 - 140 PLN per hour
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Job Details
- Languages
- English proficiency at minimum B2+ level
- Required Skills
- PythonSQLSpark
Requirements
- Strong experience with Apache Spark, Python, and SQL.
- Hands-on experience with Azure Cloud, Azure Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and Azure Data Explorer.
- Proven experience building and maintaining ETL/ELT processes.
- Practical experience with Databricks, Delta Live Tables (DLT), and Unity Catalog.
- Understanding of Lakehouse architecture, data governance, security, compliance, and operational excellence.
- Familiarity with CI/CD, Azure DevOps, infrastructure automation, monitoring, and logging.
- Strong analytical and problem-solving skills.
- Ability to work independently with ownership and accountability.
- Strong communication and stakeholder management skills across technical and business teams.
- Experience working in dynamic environments with changing priorities and cross-functional teams.
- English proficiency at minimum B2+ level.
Responsibilities
- Design, develop, and maintain scalable data solutions across Azure Synapse, Azure Databricks, and Data Lakehouse environments.
- Implement and optimize ETL/ELT processes for ingesting, transforming, and serving data across business domains.
- Develop and maintain data processing solutions using Python, SQL, and Apache Spark.
- Support migration and modernization initiatives, including Unity Catalog adoption, platform upgrades, and data platform transformations.
- Build and maintain Databricks workflows, Delta Live Tables, metadata-driven frameworks, and orchestration processes.
- Collaborate with architects, analysts, business stakeholders, and platform teams to translate requirements into technical solutions and align with enterprise data architecture.
- Ensure data quality, reliability, performance, security, and governance across the data platform.
- Troubleshoot production incidents, perform root cause analysis, and implement corrective actions.
- Contribute to CI/CD, infrastructure automation, monitoring, logging, and operational best practices.
- Optimize data pipelines, storage structures, and processing workloads for efficiency and cost reduction.
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