Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop and optimize scalable data pipelines and agentic workflows to create efficient data solutions that support automation processes and enable data-driven decision-making.
Job Technologies
Your role in the team
- As a Full Stack Data Scientist Expert, you develop and optimize scalable data pipelines, data platforms, and agentic workflows across the entire data engineering lifecycle.
- Your goal: To create reliable, secure, and reusable data solutions that drive our automation and enable data-driven decision-making.
- Identification of suitable data engineering tasks for autonomous agents as well as the definition of clear requirements, guardrails, and quality criteria.
- Development of agentic workflows for pipeline creation, testing, monitoring, documentation, and data quality checks.
- Design, implementation, and optimization of scalable ETL and ELT pipelines as well as cloud-based data infrastructures.
- Integration of different data sources and transformation of raw data into reliable, documented, and reusable data models.
- Monitoring of data pipelines, processing tools, and storage systems, as well as proactive troubleshooting of errors and performance bottlenecks.
- Ensuring data governance, access controls, security, and cost-effective data processing.
- Close collaboration with Data Analysts, Analytics Engineers, Product Owners, and other stakeholders, as well as comprehensible documentation of technical decisions.
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Our expectations of you
Education
- Completed degree in Computer Science, Business Informatics, Business Intelligence, Data Engineering, Economics, or a comparable qualification.
Qualifications
- Excellent knowledge in data modeling, ETL and ELT processes, DWH architectures, orchestration, monitoring, and data governance.
- Structured, independent working style as well as the ability to communicate technical requirements, risks, and dependencies clearly with different stakeholders.
- Fluent German and good English skills in spoken and written form for successful communication with colleagues and clients.
Experience
- More than four years of relevant professional experience in Data Engineering, Business Intelligence, Data Analytics, or in comparable data platform environments.
- Extensive practical experience with cloud-based data infrastructures, ideally GCP and BigQuery, as well as with SQL, Python, dbt, Jenkins, or comparable technologies.
- Nice to have: Experience in online marketing environments as well as with AI-powered engineering tools such as Claude Code, Cursor, or GitHub Copilot and agentic workflows.
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What we offer
- Permanent contract in an innovative company.
- Home office option, flexible working hours, and exciting projects.
- Growth journey, training budget, 360° feedback, and a culture of error where learning is more important than stagnation.
- Appreciation, flat hierarchies, and genuine collaboration.
- Parent-Child Office and the option to work part-time.
- Bring your dog to our central office.
- Coaching sessions, mental health programs, regular health weeks, and Urban Sports discounts.
- Subsidy for the Germany Ticket and a JobRad.
- Regular team events, company parties, and free snacks & drinks.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
Smarketer
Wir bei Smarketer sind davon überzeugt, dass unsere Kunden mit professionellem Suchmaschinenmarketing das nächste Level erreichen können. Daher haben wir uns einer einzigen Sache verschrieben: 100% Google Ads. 120% Performance.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Internet, IT, Telecommunication
Full Stack Data Scientist Expert
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
