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Lead Data Engineer
2 months ago
Bombardier Transportation GmbH is seeking a highly skilled Lead Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining our enterprise data platform.
Key Responsibilities- Lead the Data Platform: Oversee the development and maintenance of our data platform, ensuring it meets the business needs of our organization.
- Design and Implement Data Pipelines: Create and maintain optimal data pipelines to extract, transform, and load data from various sources using SQL and big data technologies.
- Develop Data Infrastructure: Design and implement life cycle management processes to enable continuous integration and continuous deployment of data systems.
- Integrate Data Sources: Integrate data from various resources, including external data sources and IoT, and manage big data as a key enterprise asset.
- Support Data Analysts and Scientists: Create and maintain backend data solutions for data analysts and scientists, assisting them in unlocking insights from enterprise data.
- Improve Data Quality: Identify data quality issues and make recommendations for addressing root causes.
- Ensure Data Security: Ensure compliance to data architecture and security requirements.
- Monitor Data Pipelines: Setup observability/monitoring to measure reliability of the data pipelines and act quickly in case of incidents.
To be successful in this role, you will need:
- A bachelor's degree in computer science, statistics, informatics, information systems, or another quantitative field.
- 10 years of experience in a data engineer/data specialist role.
- Experience coaching/leading a small team (technical leadership).
- Knowledge of Agile/SCRUM project delivery, DevOps, and CICD practices.
- Advanced knowledge of SQL, query authoring, and relational databases.
- Experience optimizing big data pipelines (storage, file format, partitioning, spark, python, streaming).
- Efficiency in performing root cause analysis to address issues and applying long-term fixes.
- Experience designing and building data transformation, data structures, metadata framework, and automated workload management.
- Experience in data protection measures, data privacy, and collaborating with Cyber team.
- Good knowledge of Azure data services (Azure Data Factory, Synapse, Azure Data Lake Storage, Event Hub, Polybase, Databricks, Delta lake, Cognitive Services,...).
- Good knowledge of object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Good people skills and a team player, motivated by developing other people.
- Good communication skills, able to simplify complex technical issues for non-technical people.
