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Data Engineering Consultant (m/w/x)
☞ Hopmann Marketing Analytics GmbH
Visualizza: 149
Giorno di aggiornamento: 22-10-2024
Categoria: Consulenza / Servizio Clienti
Industria:
Tipo di lavoro: Vollzeit
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Contenuto del lavoro
Hopmann Marketing Analytics GmbH is a boutique consultancy for digital analytics, data engineering, data science and data visualization based in Munich, Germany. We work with well-known customers to develop sophisticated solutions that enable data-driven decisions. Our passion is data and we want to make it accessible to everyone in meaningful visualizations and ad hoc reports.Tasks
- You support the design and implementation of data pipelines (ETL/ELT processes) and their automated deployment via CI/CD pipelines using state-of-the-art technologies
- You create sophisticated data models while keeping performance, adaptability and expandability in mind
- You configure, maintain and expand new as well as existing cloud-based infrastructures, data warehouses and data lakes
- You analyze and optimize existing data pipelines and infrastructures concerning costs, runtime and stability
- You collect customer requirements and analyze their goals and strategies to develop technical concepts
- You advise our customers on the introduction and optimization of technologies from the "modern data stack"
- You cooperate closely with your colleagues from the Data Visualization, Digital Analytics and Data Science teams to develop innovative solutions
- You support your teammates professionally, technically as well as personally
- You create powerful presentations and deliver informative training and education sessions
- Academic degree, ideally with a technical background
- Data-driven thinking and analytical skills
- First professional experience, e.g. as a data engineer, data scientist or similar
- Very good knowledge of SQL as well as relational (cloud) databases (e.g. Snowflake, Redshift, BigQuery) and data modeling
- Very good knowledge of Python and corresponding libraries for data transformation and analysis (e.g. Pandas)
- Experience with cloud BI technologies (e.g., services from AWS, Azure, GCP)
- Experience with tools for data orchestration (e.g. Apache Airflow, Prefect) and data transformation (e.g. dbt)
- Interest in technologies and tools around the "modern data stack", e.g. regarding data ingestion, testing & data quality, data lineage, reverse ETL
- Opportunity to build expertise in a very popular field with dedicated support from Senior Experts with several years of experience
- Exciting, varied projects with well-known customers
- An open working atmosphere and flat hierarchies with competent colleagues
- Further training and certification as well as participation in events and conferences
- A beautiful office in Munich
- Flexible working remote or onsite
- 1-month workation within Europe
We look forward to your application with the earliest possible start date and salary expectations.
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Scadenza: 06-12-2024
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