Data Engineer
# Data Engineer **kreativehr** · București · `On-site` 🕒 **Статус:** *Опубликовано: 12 дней назад* · *Источник: Indeed* --- ### About the Role About the job Data Engineer We are seeking an experienced and highly motivated Data Engineer to design, build, and operate reliable data pipelines and analytics-ready datasets that power reporting and business decision-making. In this role, you will develop and optimize ETL/ELT processes using Python , Azure Databricks , and SQL , integrating data across platforms including Microsoft SQL Server and PostgreSQL . You will partner with analysts, data consumers, and engineering teams to translate business requirements into scalable, well-governed data products, applying strong engineering practices around testing, monitoring, performance, and data quality, while using AI-assisted development tools and generative AI to enhance productivity and solution quality. Key Responsibilities: - Data Pipeline Development (ETL/ELT): Design, build, and maintain batch and/or incremental pipelines using Python, Azure Databricks, and SQL to ingest, transform, and curate data for analytics and downstream applications. - Orchestration, Scheduling & Reliability: Automate and schedule pipeline execution, implement idempotent processing, and build monitoring/alerting and operational runbooks to ensure reliable, observable data products. - Production Operations Support: Own day-to-day production support for data pipelines and reporting workflows, including incident triage and resolution, root-cause analysis, and proactive monitoring to meet SLAs and ensure data reliability. - Databricks Engineering: Develop and optimize notebooks and jobs; implement reusable libraries, parameterized workflows, and cluster/job configurations; apply performance tuning techniques (partitioning, caching, query optimization) as appropriate. - SQL performance optimization: Optimize schemas, tables, views, and SQL logic across Microsoft SQL Server and PostgreSQL. Troubleshoot performance issues and ensure data integrity through constraints, indexing, and query tuning. - Data Quality & Controls: Define and implement validation rules, reconciliation checks, and automated tests to detect anomalies, enforce SLAs, and improve trust in reporting and analytics outputs. - AI Enablement & Productivity: Use AI-assisted development tools and generative AI to improve engineering productivity, data pipeline quality, and documentation while maintaining strong validation and governance practices. Required experience: - 5+ years in Data engineering roles. - Strong Python for ETL, automation, and data transformations. - Hands-on SQL Server development: schemas, procedures, indexing, optimization. - Experience with Azure data services and Databricks operations. - Proven experience with AI-assisted software development tools and workflows. - Demonstrated ability to use generative AI to improve developer productivity and solution quality. - Solid understanding of responsible AI principles, including data privacy, fairness, and explainability. - Hands-on experience integrating AI capabilities into enterprise data or analytics applications. - Fluency in English, written and spoken. Nice-to-haves: - Azure Data Factory - Experience with data quality testing and validation frameworks. - Familiarity with Lakehouse concepts and Delta tables. - Experience with PostgreSQL, including query and schema optimization. - CI/CD for data pipelines using Azure DevOps or Gitlab or similar. - Ability to integrate AI/ML model endpoints into data platforms and pipelines using Azure ML or similar. - Advanced SQL for analytics, modeling, and performance tuning. Required Education - Degree in Computer Science, Management of Information Systems, or a related analytical field or equivalent experience. What we offer: - Join a people-centered company culture where you can grow, thrive, and innovate; - Be part of shaping the Reinsurer of Tomorrow within an environment that values learning, collaboration, and continuous improvement; - Opportunity to be part of a highly successful global organization with strong industry presence; - Make a real impact through your work by contributing to key financial operations; - Comprehensive health and life insurance to support your wellbeing; - Meal tickets valued at 45 RON / working day; - Attractive referral bonuses plus seasonal vouchers: 350 RON for Christmas and 300 RON for Easter.
Наблюдалась 2026-10-06, впервые 2026-09-24, источник — Indeed.