Data Engineer I

This is a fully remote position, open to applicants in Germany.

📋 Description

• Acquire engineering proficiency in the Dataiku Platform to support the maintenance and development of system integrations, platform automations, and configurations.

• Gain engineering expertise in Snowflake, focusing on data engineering as well as security and governance features.

• Design and manage Python and SQL data replication and data pipelines for large and complex datasets.

• Diagnose issues in data pipelines, platform automations, and data access systems.

• Assist in testing new features in Dataiku and partner tools to offer internal feedback and assess their value for analytics and data platform integration.

• Work closely with Analytics Engineers to supply data and data models for analytical projects.

⛳️ Requirements

• A minimum of 2 years of relevant experience in Data Engineering or Data Platform Engineering.

• Proficient technical capabilities in SQL and Python are essential. Familiarity with Dataiku DSS is a significant advantage.

• Previous experience with Snowflake is a plus.

• Experience with DevOps technologies such as GitHub Actions, Azure DevOps, or Jenkins is beneficial.

• Background in constructing data models.

• Strong analytical and creative problem-solving abilities; demonstrate confidence in asking questions for clarity.

• Enthusiasm for ongoing learning and teaching to facilitate the understanding of new technologies and implementation strategies.

• Capability to handle multiple projects and meet time constraints concurrently in a high-trust remote setting.

• Exceptional written and verbal communication skills, particularly with senior-level stakeholders.

🏝️ Benefits

• Dataiku is seeking a Data Engineer I to become part of our Enterprise Data and Analytics (EDA) team.

• This position involves approximately 50% data operations, support, and troubleshooting, alongside 50% new development.

• Daily data engineering tasks will mainly focus on the data platform constructed with Snowflake, Dataiku, and GitHub.

• Non-technical skills and learning are equally important, as collaboration with engineers from various teams will be essential.