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(Senior) Data Engineer/Lead (f/m/d)
Ver: 142
Dia de atualização: 07-10-2024
Categoria: Tecnologia da Informação
Indústria:
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Conteúdo do emprego
Your MissionAs a (Senior) Data Engineer/Lead, you will be responsible for designing and implementing our data infrastructure and processes. You will work closely with our CPO as well as product and software engineering teams to develop our data strategy and architecture.
Your Responsibilities
- You will be responsible for designing and implementing scalable as well as efficient data infrastructures, and for scaling the Data team
- You will work closely with our Co-Founder & CPO as well as Product, Sales, and Customer Success teams to understand data requirements and develop solutions that meet the needs of stakeholders
- You will build and maintain data pipelines, ETL processes, and data integration workflows to ensure data accuracy, reliability, and accessibility
- You will conduct data analysis and optimization to identify opportunities for improving data quality, performance, and efficiency
- You have at least 4 years of experience in data engineering and modelling, or a related field
- You have a Bachelor’s or Master’s degree in Electrical Engineering, Information Technology, Computer Sience or related fields
- You possess a deep understanding of Python and SQL, as well as expertise in data warehousing, ETL processes, and data modelling
- You possess business acumen, enabling you to effectively translate complex business requirements into innovative and impactful data solutions
- You speak fluent English
- You are analytical, detail-oriented, adaptable, a quick learner, collaborative, and structured
- Be a part of our diverse and highly motivated team, and contribute to an outstanding company culture
- Flexibility to work from home or our office in the heart of Munich
- Competitive compensation and benefit packages: 30 vacation days, Wellpass membership, personal development budget, and more
- State-of-the-art equipment and digital tools for hassle-free workflows
- Bi-weekly team events and quarterly impact days
- And much more ...
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Data limite: 21-11-2024
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