06.08.2026 aktualisiert
Premiumkunde
100 % verfügbarSenior Data Engineer (Interim / Freelance) - Snowflake, Databricks, dbt, AWS, Azure
Hamburg, Deutschland
Weltweit
Master of Business Administration (MBA), ESMT European School of Management and Technology, BerlinSkills
Data LakehousePythonSQLSnowflakePySparkDatabricks
Cloud Data Warehouse & Lakehouse Architecture
Deep hands-on expertise in cloud data warehouse and lakehouse architecture on Snowflake and Databricks (AWS and Azure), with specialization in platform migrations and modernization, including large-scale ETL job migrations and PoC implementations.
Data Modeling, ETL/ELT & Governance
Expert-level knowledge in enterprise data modeling, ETL/ELT pipeline development, data lineage, governance and BI reporting. Proven track record of establishing team-wide engineering standards using dbt, CI/CD and modeling conventions.
AI & LLM Integration in Data Platforms
Focused expertise in secure and scalable AI adoption in data platforms and developer workflows using Claude Code, LLM APIs and n8n. Includes governance, access control, quality validation of AI-assisted outputs, RAG pipelines and LLM observability.
Python & SQL Scripting
Proficient in Python, SQL, PL/SQL, Unix shell scripting and Lua (Exasol UDFs) for data engineering, automation and pipeline development across multiple enterprise environments.
Orchestration & ELT Tools
Hands-on experience with orchestration and ELT tools including dbt, Airflow, Dagster, Airbyte, Azure Data Factory, Talend and Matillion for building and managing complex data workflows.
DevOps & Infrastructure
Practical experience with Docker, Kubernetes, Terraform, GitLab CI/CD, GitHub Actions and Git for infrastructure automation, containerization and continuous deployment in data engineering projects.
Streaming & Real-Time Processing
Experience with Kafka and Spark for streaming and real-time data processing, including integration of high-volume app-tracking data into data warehouse environments.
BI & Data Visualization
Skilled in data modeling and BI tools including DBSchema, PowerDesigner, Tableau and MicroStrategy for enterprise reporting and analytics delivery.
Data Platforms
Extensive experience across multiple data platforms including Databricks, Snowflake, Exasol, Oracle, PostgreSQL and Azure Synapse for building and operating enterprise-grade data solutions.
Deep hands-on expertise in cloud data warehouse and lakehouse architecture on Snowflake and Databricks (AWS and Azure), with specialization in platform migrations and modernization, including large-scale ETL job migrations and PoC implementations.
Data Modeling, ETL/ELT & Governance
Expert-level knowledge in enterprise data modeling, ETL/ELT pipeline development, data lineage, governance and BI reporting. Proven track record of establishing team-wide engineering standards using dbt, CI/CD and modeling conventions.
AI & LLM Integration in Data Platforms
Focused expertise in secure and scalable AI adoption in data platforms and developer workflows using Claude Code, LLM APIs and n8n. Includes governance, access control, quality validation of AI-assisted outputs, RAG pipelines and LLM observability.
Python & SQL Scripting
Proficient in Python, SQL, PL/SQL, Unix shell scripting and Lua (Exasol UDFs) for data engineering, automation and pipeline development across multiple enterprise environments.
Orchestration & ELT Tools
Hands-on experience with orchestration and ELT tools including dbt, Airflow, Dagster, Airbyte, Azure Data Factory, Talend and Matillion for building and managing complex data workflows.
DevOps & Infrastructure
Practical experience with Docker, Kubernetes, Terraform, GitLab CI/CD, GitHub Actions and Git for infrastructure automation, containerization and continuous deployment in data engineering projects.
Streaming & Real-Time Processing
Experience with Kafka and Spark for streaming and real-time data processing, including integration of high-volume app-tracking data into data warehouse environments.
BI & Data Visualization
Skilled in data modeling and BI tools including DBSchema, PowerDesigner, Tableau and MicroStrategy for enterprise reporting and analytics delivery.
Data Platforms
Extensive experience across multiple data platforms including Databricks, Snowflake, Exasol, Oracle, PostgreSQL and Azure Synapse for building and operating enterprise-grade data solutions.
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2026
Sprachen
DeutschGrundkenntnisseEnglischverhandlungssicher
Projekthistorie
Continuing the agentic AI application development started at The Creative Club, building agent workflows and LLM-integrated data engineering tooling using Claude Code, MCP and LLM APIs.
Developed the company data warehouse and delivered its migration to Snowflake. Built the data import framework in Python for the Snowflake migration, cutting new-source onboarding from days to hours. Drove AI-assisted coding, code review and documentation processes using Claude Code. Prototyped an LLM-powered data chatbot for business stakeholders using MCP to read data from Snowflake. Stack: AWS, Snowflake, Dagster, Airbyte, Python, Docker, Kubernetes, GitHub, Claude Code, MCP, Anthropic API.
Delivered multiple data-platform projects as consulting architect for client Olympus. Led the automated migration of 1,200+ Matillion ETL jobs from Azure Synapse to Snowflake using Python, including SQL dialect translation, cutting development time by 4-6 weeks. Stack: Azure, Snowflake, Synapse, Matillion, Python, Azure DevOps, GitLab, Jira.