Job
In this role, you design and operate data pipelines, develop ETL/ELT processes, and ensure data quality in cloud environments while closely collaborating with interdisciplinary teams.
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Your role in the team
- You don't just want to work with data, but also lay the foundation on which everything runs? In your role as a Data Engineer, you design, build, and operate the data pipelines and platforms that supply our analyses, dashboards, and AI use cases with reliable data.
- You ensure that data from a variety of sources arrives clean, performant, and scalable where it is needed, working closely with data scientists, analysts, and our clients.
- Development & Operation of Data Pipelines: You develop, test, and operate robust ETL/ELT pipelines that reliably ingest, transform, and deliver data from a variety of sources.
- Data Modeling & Architecture: You design and maintain data models, schemas, and structures for data warehouses/lakehouses that reliably support analytical and operational use cases.
- Data quality & reliability: You implement validations, quality checks, and monitoring to ensure data is accurate, consistent, and available at all times.
- Cloud & Scaling: You build and optimize data solutions in the cloud (AWS/Azure/GCP), focusing on performance, scalability, and cost-efficiency, and work with Infrastructure-as-Code.
- Automation & Orchestration: You automate recurring data flows (e.g., with Airflow) and ensure clean, repeatable deployments through CI/CD.
- Enablement for Analytics & AI: You provide Data Scientists and Analysts with high-performance, well-documented datasets and support in making models and use cases operational.
- Collaboration & Translation: You work closely with interdisciplinary teams and clients, understand technical requirements, and translate them into viable technical solutions.
Our expectations of you
Qualifications
- Data modeling & quality awareness: You understand data modeling and value data quality, testing, and maintainable code.
- Implementation competence & personal responsibility: You bring solutions pragmatically and goal-oriented from the idea to operation and take responsibility for the results and quality.
- Team player: You enjoy working with Data Scientists, Analysts, and clients, and communicate technical matters clearly.
- Languages: Fluent German skills (C1+), good English skills are a plus.
Experience
- Experience in Data Engineering: You have already built and operated productive data pipelines and infrastructure, and you enjoy working on clean, scalable solutions.
- Tool Stack: You are proficient in Python and SQL, familiar with ETL/ELT, Data Warehouses/Lakehouses, and cloud environments (Databricks/Snowflake/AWS/Azure/GCP); experience with PySpark, Airflow, and CI/CD is a plus.
What we offer
- You work in a young, growing team with the opportunity to actively shape twomynds and be very close to business processes and decisions.
- Opportunity to quickly take on responsibility, advance internally, and develop professionally as well as personally – supported by mentoring, sparring, and a training budget.
- Flexible working hours and high remote flexibility (one fixed office day per week in Bonn).
- You work on exciting projects with well-known brands from media, sports, telecommunications, and industry - from strategic concepts through enablement to implementation.
- Subsidy for the job ticket and Urban Sports Club membership.
Topics you will work on
Job locations
About your employer
twomynds is a modern Data & AI service provider based in Leverkusen and Bonn, supporting companies in their digital transformation. The team develops tailored solutions ranging from data strategy to the implementation of AI applications, focusing on results-oriented work with a clear emphasis on measurable success. Founded in 2022, twomynds primarily targets clients from the DAX-40 sector.
- Startup
- Onsite, Hybrid
- Consulting
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