Public summary
Join a fast-growing tech company building the operating system for mobile services, focusing on seamless connectivity integration across platforms. The role involves developing and maintaining the core data platform used across business teams for analytics, billing, and financial reporting. Work closely with cross-functional stakeholders to deliver reliable data solutions and own architectural standards and best practices in data engineering. Competitive salary range of €90,000-125,000 per year based on experience.
Location and work setup
- Location
- Berlin
- Remote status
- Hybrid
- German requirement signal
- No German Required Detected
- Detected job language
- English
Salary
EUR 90000.00 - 125000.00 year
Responsibilities
Develop and operate data systems converting complex telecom usage and operations data into reliable datasets for billing, finance, and product analytics. Build and maintain data pipelines, integrate diverse data sources into a unified platform, and own data modeling standards. Use Python and SQL with Dagster orchestration and manage cloud infrastructure with Terraform. Collaborate with cross-functional teams to understand and solve data needs, ensuring quality, correctness, and observability. Take full ownership from problem scoping through production and maintenance.
Qualifications
Proven experience designing and operating production data platforms with architectural decision-making in ingestion, storage, modeling, orchestration, and reliability. Strong data modeling fundamentals with a focus on business impact and pragmatic trade-offs. Proficiency in Python and SQL, familiarity with modern cloud data platforms such as BigQuery, Snowflake, or Databricks. Experience with data orchestration tools, especially Dagster. Comfortable managing cloud infrastructure using Terraform. Strong communication skills to work with both technical and non-technical stakeholders. Ability to work effectively in ambiguous environments and leverage AI tools in engineering workflows. Telecom industry knowledge is not required.