Aktuelle Jobs im Zusammenhang mit Senior Data Engineering Team Manager - Munich, Bayern - Hopmann Marketing Analytics GmbH
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Data Engineering Team Lead for Innovative Data Solutions
vor 56 Minuten
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Chief Data Engineering Director
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Munich, Bayern, Deutschland Hopmann Marketing Analytics GmbH VollzeitJob DescriptionWe are seeking a highly skilled Data Engineering Team Lead to join our team at Hopmann Marketing Analytics GmbH, a boutique consultancy specializing in digital analytics, data engineering, data science, and data visualization based in Munich.The successful candidate will have the opportunity to work on exciting, varied projects with well-known...
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Senior Data Engineer
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Senior Data Analyst
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Data Centre Project Lead
vor 4 Wochen
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Senior Data Engineering Team Manager
vor 2 Monaten
We are looking for a highly skilled Data Engineering Team Lead to join our team at Hopmann Marketing Analytics GmbH. As a key member of our data engineering team, you will be responsible for designing, building, and maintaining scalable and robust data pipelines.
Key Responsibilities- Team Leadership: Lead a team of up to 10 data engineers and potential less experienced team leads, fostering a collaborative environment that encourages innovation, accountability, and continuous professional development.
- Project Execution: Drive the execution of projects, ensuring timely delivery, and meeting quality standards.
- Client Consultation: Consult with clients to gather, understand, and analyze their unique requirements and objectives, developing technical solutions that align with their strategic goals.
- Collaboration: Cooperate closely with colleagues from Data Visualization, Digital Analytics, and Data Science teams to develop innovative solutions.
To be successful in this role, you will need:
- Master's or higher in Computer Science, Data Science, Engineering, or related fields.
- At least 5 years of experience in data engineering with demonstrated ability to design, build, and maintain scalable and robust data pipelines.
- Deep understanding of data integration, data modeling, workflow orchestration, and CI/CD, as well as corresponding tools and technologies.
- Proficiency in cloud services (AWS, Azure, GCP) and managed data services (like Snowflake, Databricks, dbt Cloud, MWAA).
- Familiarity with optimizing data systems and infrastructures in areas like performance, scalability, and stability, as well as data quality, data observability, and data security.
- Experience with leading a data engineering team or managing complex data projects, including budgeting and timeline creation.
- Excellent communication and presentation skills in German and English, capable of clearly articulating complex data concepts to non-technical stakeholders.
- Exciting, varied projects with well-known clients from various industries.
- Personal responsibility and involvement in strategic development.
- An open working atmosphere and flat hierarchies with competent colleagues.
- Further training and certifications, as well as participation in events and conferences.
- Flexible working, either hybrid or on-site in our state-of-the-art offices in Munich or at Schliersee.