Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin, Munich
- Working Model
- Onsite
Job Summary
In this role, you will develop reliable data pipelines and ETL processes using Apache Spark, manage cloud infrastructure, and automate workflows to efficiently and sustainably operate data-intensive applications.
Job Technologies
Your role in the team
- You develop and operate reliable, secure, and cost-efficient data pipelines as well as ETL and ELT processes — from business requirements to production deployment.
- With technologies like Apache Spark, you implement data-intensive applications and ensure they run efficiently, scalably, and reliably.
- You build the appropriate cloud and data infrastructure for our data solutions, further develop it, and ensure secure, cost-effective operation.
- You translate technical requirements into viable technical solutions, introduce best practices, and support colleagues through reviews, mentoring, and technical sparring.
- You automate development and operations workflows, further develop CI/CD processes, and optimize architectures with regard to performance, cost, security, and compliance.
- To ensure our data remains reliably usable, you establish automated tests, monitoring, and traceable quality standards.
- You assume end-to-end responsibility for data products and integrations, ensuring their sustainable maintainability.
- You develop scalable data models for new use cases in close collaboration with business units, product teams, and data analysts.
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Our expectations of you
Education
- You have a completed degree with a technical-data focus, for example in Computer Science, Mathematics, Data Engineering, or Data Science, or possess an equivalent qualification.
Qualifications
- Modern data engineering stacks such as Databricks, Spark, or BigQuery are familiar to you, as well as cloud environments like GCP.
- You are comfortable with software engineering practices such as Clean Code, CI/CD, and Infrastructure as Code, and confidently apply them in the data context.
- Analytical thinking is your strong suit, and you combine technical excellence with a clear focus on business value.
- You communicate confidently and precisely in German and English – in writing as well as orally.
Experience
- Several years of experience in Data Engineering with a focus on data products and data-intensive systems in production environments form your technical foundation.
- You are proficient in SQL and Python and have practical experience with technologies for distributed data processing such as Apache Spark.
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What we offer
- For all music lovers: Your impactful job right in the heart of the industry! Together with teams that think digitally and live music.
- Learn to Fly: E-learning courses, webinars, and workshops that help you grow personally and become even more knowledgeable professionally.
- Compensation: 30 days of vacation, flexible working hours, home office policy, and workation for your balanced work-life harmony.
- Additional perks: subsidized company restaurant, barista bar, and modern office in a prime location plus asset-building benefits, discounts, and other allowances. Our extra goodie set for you.
- Health & Family: Childcare allowance, active breaks, pme family service, special leave, and flexible working models that make your daily life a bit smoother.
- Experience music: GEMA band, corporate events, and social occasions to rock out, toast, and network.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
GEMA Germany GmbH
GEMA Germany offers and supports companies with solution-oriented mobility services. With our headquarters in Berlin and Hamburg, we offer international consulting services, deployment, management of mobile infrastructure, 24/7 help desk support and software development.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Internet, IT, Telecommunication
Data Engineer
- Location
- Berlin, Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
