We are looking for a Data Engineer to design, develop, maintain, and optimize data pipelines and data platforms that support analytics, reporting, and business decision-making.ResponsibilitiesDevelop and maintain ETL/ELT pipelines and data integrations.Build and maintain data models, data warehouses, and reporting datasets.Monitor and improve data quality, reliability, and pipeline performance.Troubleshoot and resolve production data issues within agreed SLAs.Optimize data warehouse and cloud platform performance.Collaborate with Data, Analytics, Engineering, Product, Architecture, and Business teams.Document processes, solutions, and data workflows.RequirementsExperience as a Data Engineer or similar role.Strong SQL skills and experience with Python and/or PySpark.Experience with ETL/ELT development and data integration.Experience with cloud platforms such as Azure, AWS, or GCP.Experience with data warehouses, databases, or data lakes.Experience with Git/GitHub or Azure DevOps.Strong troubleshooting and problem-solving skillsNice to HaveExperience with:Databricks / Apache SparkAzure Data FactoryAirflow / dbtSnowflake / Synapse / Azure SQLProduction support and incident management.What You'll DoYou will play a key role in ensuring reliable, high-quality, and timely data delivery, while contributing to new integrations, platform improvements, and business reporting initiatives.

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