Data Engineering Lead
3 days ago
Bombardier's Business Aircraft London Service Centre in Biggin Hill is part of an award-winning network and is the flagship of Bombardier's European operation. This Base and Line Maintenance Centre is the fastest-growing Service Centre in Europe and the largest Business Aircraft OEM in the UK. The facility has the capabilities to perform an array of maintenance checks, modifications and upgrades all from this site. Only 14 miles from London, Bombardier's Biggin Hill Service Centre is ideally located to support operators in the UK region and beyond.
Key Responsibilities:- Lead and administer the enterprise data platform (DWH, Data Lake).
- Create and maintain optimal/reliable data pipeline architecture to meet business needs.
- Define and operate the infrastructure required for optimal extraction, transformation and loading (ETL) of data from a wide variety of data sources using SQL and 'big data' technologies as needed (Hadoop, MapReduce, Hive, Spark, Kafka, Pig, data streaming, NoSQL, SQL, programming).
- Design and implement life cycle management processes (DevOps) to enable continuous integration and continuous deployment (CICD) of data systems.
- Integrate data from various resources (including external data sources and IoT) and manage the big data as a key enterprise asset.
- Create and maintain backend data solutions for data analysts and data scientists. Assist them in unlocking insight from enterprise data.
- Identify, design, and implement internal process and framework (e.g. elimination of manual processes, optimizing data delivery, evolving data infrastructure capabilities, etc.).
- Work with stakeholders including product, data and architecture SME to assist with data-related technical issues and support their data infrastructure needs.
- Ensure compliance to data architecture and security requirements.
- Identify data quality issue and make recommendation for addressing root causes.
- Setup observability/monitoring to measure reliability of the data pipelines and act quickly (e.g. operational support) in case of incident.
- 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).
- Efficient at performing root cause analysis to address issues and applying long-term fix.
- 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 are a team player, motivated by developing other people.
- Good communicator, who can simplify complex technical issue for non-technical people. You can work in an environment with a mix of French and English languages.
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