Head of Data Engineering
vor 1 Monat
Job Title: Head of Data Engineering
Location: Munich
Our client is a leading e-commerce platform committed to providing seamless shopping experiences for customers around the globe. We are seeking a talented and experienced Head of Data Engineering to lead the data engineering team and drive the data infrastructure initiatives.
Position Overview:As the Head of Data Engineering, you will play a pivotal role in designing, building, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives in the e-commerce industry. You will lead a team of skilled data engineers to develop robust, reliable, and efficient data solutions that enable us to analyze customer behavior, personalize shopping experiences, and optimize business operations.
Responsibilities:- Lead and mentor a team of data engineers, providing technical guidance, support, and expertise to drive innovation and excellence in data engineering initiatives focused on e-commerce analytics.
- Collaborate closely with marketing, sales, and product teams to understand business requirements and translate them into scalable data solutions that support customer segmentation, recommendation systems, and inventory management.
- Design, develop, and maintain data pipelines and ETL processes to ingest, transform, and store large volumes of transactional data, user interactions, and product information from various sources.
- Implement best practices for data governance, security, and compliance to ensure data integrity, privacy, and regulatory compliance in the e-commerce industry.
- Optimize data storage and retrieval processes to enhance performance, reliability, and cost efficiency of data infrastructure, with a focus on real-time data processing and analytics to support dynamic pricing and inventory optimization.
- Stay abreast of the latest advancements in data engineering technologies and tools, and evaluate their potential applications to improve our data architecture and workflows for e-commerce analytics.
- Collaborate with IT and DevOps teams to manage infrastructure resources, monitor system performance, and troubleshoot issues as needed in an e-commerce environment.
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Proven experience in a leadership role within a data engineering or software development team, with a track record of successfully leading and delivering complex data infrastructure projects.
- Strong proficiency in programming languages such as Python, Java, or Scala, as well as experience with data processing frameworks and tools such as Apache Spark, Hadoop, Kafka, and Airflow.
- Deep understanding of data modeling, database design, and SQL, with experience in building and optimizing relational and NoSQL databases.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and proficiency in cloud-based data services such as S3, Redshift, BigQuery, and Dataflow.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with marketing, sales, and product teams, and communicate technical concepts to non-technical stakeholders.
- Strong problem-solving abilities, attention to detail.
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