Germany
ALTEN
Adesso SE
Snowflake Data Engineer (all genders)
Germany
Karlsruhe, Baden-Württemberg, Germany · Stuttgart, Baden-Württemberg, Germany · Ulm, Baden-Württemberg, Germany · Walldorf, Baden-Württemberg, Germany · Augsburg, Bavaria, Germany · Munich, Bavaria, Germany · Nuremberg, Bavaria, Germany · Bremen, Bremen, Germany · Frankfurt, Hesse, Germany · Hanover, Lower Saxony, Germany · Rostock, Mecklenburg-Vorpommern, Germany · Stralsund, Mecklenburg-Vorpommern, Germany · Aachen, North Rhine-Westphalia, Germany · Bonn, North Rhine-Westphalia, Germany · Cologne, North Rhine-Westphalia, Germany · Dortmund, North Rhine-Westphalia, Germany · Dusseldorf, North Rhine-Westphalia, Germany · Essen, North Rhine-Westphalia, Germany · Münster, North Rhine-Westphalia, Germany · Paderborn, North Rhine-Westphalia, Germany · Siegen, North Rhine-Westphalia, Germany · Koblenz, Rhineland-Palatinate, Germany · Saarbrücken, Saarland, Germany · Dresden, Saxony, Germany · Leipzig, Saxony, Germany · Kiel, Schleswig-Holstein, Germany · Neumünster, Schleswig-Holstein, Germany · Jena, Thuringia, Germany · Berlin, Germany · Hamburg, Germany
PythonJavaSQLAWSGCPTerraform
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YOUR ROLE
- Understand requirements and advise clients: In collaboration with business departments, you will develop concrete requirements for Data Pipelines and advise our clients on best practices and Snowflake Data Engineering features (such as OpenFlow, Snowpark, Snowpipe).
- Develop data pipelines: You will design and develop along the entire pipeline, using tools such as Fivetran, dbt, Airflow, Matillion, or other tools of the modern Data Stack.
- Analyze and present data: You will use the Snowflake AI Suite (Snowflake Cortex, Snowpark, Streamlit) to derive well-founded insights from datasets and present them comprehensibly.
- Close collaboration with various teams: You will work closely with Data Scientists, Analysts, Architects, and other Engineers to implement the best solution for the client.
- Data Management: You will help our clients build structured and reliable data processes: Compliance with data protection regulations, definition of data governance policies, implementation of data access and security concepts.
- Share knowledge: You will conduct training for end-users and analysts on how to use Snowflake and create documentation and guidelines.
- Actively participate in presales: Depending on your experience, you will develop technical solution concepts, accompany proposal presentations, and conduct workshops.
YOUR PROFILE
- Data Platform Knowledge: You have experience in Data Platform projects, ideally with Snowflake, and are proficient in Data Platform concepts (DWH/Data Lake/Datalakehouse and Data Mesh) and modeling with Data Vault 2.0 or classic modeling patterns like Snowflake and Star.
- Cloud Expertise: You have experience in Cloud Data Platforms and a cloud hyperscaler like AWS, GCP, or Azure, and have a fundamental understanding of cloud infrastructure (VPC, IAM, etc.). You are also familiar with IaC tools like Terraform.
- ETL/ELT Methodology: You effortlessly develop batch and streaming data pipelines with a strong focus on robustness and data quality, and also have a comprehensive market overview of common integration tools such as dbt, Fivetran, Matillion, Talend, and Informatica, while simultaneously possessing knowledge in one of these languages: SQL, Python, Java, Scala, or Spark.
- AI Competence: You confidently use AI tools in your field, critically evaluate the results, and support clients and adessi in leveraging AI potential.
- Language Skills: You have very good German and good English skills.
- Consulting Experience: Professional experience in the consulting field is a plus.
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