Data Engineering Lead
vor 1 Monat
We are seeking a highly skilled Data Engineering Lead to join our team at E.ON Digital Technology GmbH. As a key member of our organization, you will be responsible for leading our data engineering efforts and driving the development of our data architecture.
Key Responsibilities- Lead the design and implementation of our data architecture, ensuring scalability, reliability, and performance.
- Collaborate with cross-functional teams to develop and implement data-driven solutions, leveraging machine learning and AI technologies.
- Provide technical guidance and mentorship to junior team members, promoting a culture of continuous learning and growth.
- Stay up-to-date with industry trends and emerging technologies, evaluating and recommending new tools and methodologies to enhance our data management and analysis capabilities.
- Develop and maintain high-quality, reusable data models, architecture templates, and shippable data products.
- 5+ years of professional experience in a data architecture or engineering role, with a degree/PhD in Computer Science or a related technical discipline.
- Extensive knowledge of cloud environments, architecture best practices, and tools relevant for machine learning/AI use cases.
- Proven experience in ETL processes, data extraction, transformation, and loading, with expertise in Azure Data Factory, Azure Databricks, and/or Azure Synapse Analytics.
- Excellent programming skills in Python and SQL, with knowledge of machine learning frameworks like scikit-learn, TensorFlow, PyTorch, and Azure ML.
- Excellent communication and presentation skills, with fluency in English and German.
We offer a unique opportunity to combine your passion for technology with your desire to work on a topic of high relevance for society. You will have the chance to contribute to our ambitious digitalization strategy, apply and broaden your expertise on a variety of assignments, and work with cutting-edge technology. Join our team and take your career to the next level
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