Senior Data & Cloud Engineer

About the Project: We build production applications on AWS that consume data from a dbt/Snowflake data warehouse. We are looking for experienced developers who can move, transform and serve data reliably, and who own the cloud infrastructure behind it. The team works with agentic coding tools as part of everyday development. Responsibilities: - Design, build and maintain data transformations and data warehouse models (dbt, SQL, Snowflake). - Build pipelines that move data from the warehouse into application databases on AWS (e.g. Step Functions, Lambda, Fargate), including incremental loads, backfills and safe re-runs. - Define and provision infrastructure as code with AWS CDK (Python or TypeScript). - Implement data quality checks, schema/data contracts and atomic cutovers for large tables. - Contribute to CI/CD, automated testing, logging, monitoring and alerting. - Work closely with application developers and product owners; turn requirements into working increments quickly. Must-have: - Several years (approx. 5+) of professional software or data engineering experience. - Strong Python for production code (not only scripting): testing, packaging, clean structure. - Solid SQL and experience with data modelling and data warehousing concepts (dimensional modelling, incremental models, slowly changing data). - Hands-on AWS experience: core services (S3, IAM, Lambda, Step Functions, ECS/Fargate, RDS/Aurora, VPC). - Infrastructure as code, ideally AWS CDK; Terraform or CloudFormation is acceptable. - Experience with Git-based workflows, code review and CI/CD pipelines. - Practical use of agentic coding / AI coding assistants (e.g. Claude Code, Copilot agent mode, Cursor) and the judgement to review, test and correct generated code. Nice-to-have: - dbt and Snowflake in production (tests, macros, data contracts, unloading to S3). - PostgreSQL performance: indexing strategies, migrations on large tables. - Observability: structured logging, tracing with correlation IDs, CloudWatch/OpenTelemetry. - Security basics: secrets management, private networking, authentication via Entra ID / OIDC. - Other cloud platforms (Azure, GCP) or data tools (Airflow, Spark, Glue). - AWS certifications (e.g. Developer, Data Engineer, Solutions Architect). Ways of working: - Comfortable in a fast-paced environment with changing priorities and short iterations. - Takes ownership end to end, from data model to deployment and operation. - Pragmatic: ships small, working increments and improves them, rather than over-engineering. - Communicates clearly, raises risks early, documents decisions. - Curious and willing to adopt new tools and workflows, especially AI-assisted development. - Good English; German is a plus. We are Siemens, a collection of great minds who are all making the future. You could be one of us! Siemens is a global technology powerhouse that owns innovative solutions in the areas of electrification, automation, and digitalization. Software and R&D play a crucial role at Siemens. In Brasov, Cluj-Napoca, and Bucharest we have a competence center for research, software development, IT and engineering, which makes the company a major leader in vertical IT technologies.