Spontaneous Application - Senior Data Engineer ( m/w/d)
Core
Design, implement, and optimize scalable data architecture, pipelines, and models to support data-driven initiatives across the organization.
Role type
Senior Data Engineer
Builds
Modern data architecture, pipelines, and models
Domain
Data Engineering / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, Spark, SQL, Cloud services (AWS/Azure/GCP), Databricks, ETL/ELT, Data orchestration (Airflow/Dataiku), CI/CD
Preferred skills
Utilities/energy/finance industry experience, CRM/ERP systems (Salesforce/SAP), Financial reporting processes, Additional cloud certifications
Technologies
Python, Spark, SQL, AWS S3, Athena, Glue, Redshift, Azure, GCP, Databricks, Airflow, Dataiku, Azure DevOps, GitLab, Jenkins, Jira
Responsibilities
Design and maintain scalable data architecture including databases, data lakes, and warehouses; Build and automate ETL/ELT pipelines; Integrate heterogeneous data sources; Manage and optimize data infrastructure performance and costs; Act as a technical lead and coach other engineers; Develop data processing code; Monitor production pipelines; Create comprehensive documentation.
Seniority
Senior, hands-on IC with mentorship responsibilities
