Public summary
We are seeking a Data Engineer to manage end-to-end data pipelines, from data modeling to production, within a social platform aimed at revitalizing urban neighborhoods. The role involves collaboration with technical and non-technical teams, data governance ensuring GDPR compliance, and enhancing AI and machine learning infrastructure. The position offers a hybrid work model, a supportive team environment, opportunities for personal growth, 30 days of vacation, and additional employee benefits.
Location and work setup
- Location
- Berlin
- Remote status
- Hybrid
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Manage and own data pipelines end-to-end, including metric definition, data modeling, quality assurance, and production deployment. Collaborate closely with Product, Engineering, and stakeholders to translate data needs into robust production models. Maintain data governance with a focus on quality, security, and compliance. Improve personalized recommendations and support ML algorithms. Utilize tools such as dbt, Snowflake, Dagster, SQL, Python, AWS, and others to build a reliable data infrastructure.
Qualifications
Proven experience in data engineering or related roles with strong knowledge of data warehousing and ETL concepts. Proficient in SQL, dbt, and orchestration tools such as Dagster. Experience with cloud data warehouses (preferably Snowflake) and cloud platforms like AWS. Familiarity with version control systems like Git. Understanding of GDPR and compliant data access design. Experience with AI coding tools is a plus. Effective communication skills to bridge technical and non-technical stakeholders. Experience or interest in ML concepts and recommendation engines is advantageous.