Data Engineer
New
J
JimdoSoftware Development
Location: Germany; Secondary Locations: Italy, Spain, PortugalFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 4+ years
- Required Skills
- AWSPythonSQLGitSnowflakeAirflowData engineeringData modelingdbt
Requirements
- 4+ years of experience in Data Engineering, Analytics Engineering, or a related field.
- Strong SQL skills, including complex joins, aggregations, CTEs, and window functions.
- Hands-on experience with dbt for data transformation, testing, and documentation.
- Practical experience with cloud data warehouses, preferably Snowflake.
- Experience building data workflows and automation using Python.
- Familiarity with orchestration tools such as Airflow and Git-based development workflows.
- Experience with AWS services.
- Exposure to data governance, data contracts, and compliance frameworks.
- Experience using AI coding assistants and integrating AI into engineering workflows.
- Familiarity with modern observability and monitoring practices for data platforms.
Responsibilities
- Build and maintain scalable data pipelines, transformations, and reporting models using dbt, SQL, Python, and Snowflake.
- Develop and optimize data ingestion workflows, API integrations, and CDC pipelines using established engineering frameworks and best practices.
- Implement data quality checks, testing, monitoring, and observability mechanisms to ensure reliable and trustworthy data products.
- Design and maintain analytics-ready data models, including reporting marts and dimensional models that support business insights.
- Leverage AI-powered development tools such as GitHub Copilot and Claude to improve productivity, code quality, and documentation.
- Collaborate with analysts, BI teams, and stakeholders to define metrics, clarify business logic, and deliver impactful data solutions.
- Contribute to data governance, compliance, and platform reliability by following data contracts, security standards, and engineering best practices.
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