Data Engineer
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Job description
Our client is a global technology organisation at the heart of the air transport industry, providing technology and communications solutions that help keep airports moving, airlines operating smoothly and borders open.
We are looking for a Data Engineer, with up to 5 years experience, to join the growing Central Data Team, working at the heart of the organisationâs data strategy. This is not a role focused on a single product, business unit or dataset. You will work across a broad and diverse data landscape, helping to bring together data from across the organisation and the wider air transport ecosystem and making it available for analytics, machine learning, AI and other business-critical use cases. You will help build the data engineering capabilities, patterns and foundations that enable the organisation to make better use of its data at scale.
Working with data engineers, data architects, data scientists, analysts and business stakeholders, you will design and implement scalable data solutions on a centrally managed Databricks and Azure platform.
You will ideally bring:
- 2 to 5+ yearsâ experience working in data engineering or closely related Big Data environments.
- Hands-on experience with Python and SQL, including clean coding and object-oriented programming practices.
- Experience working with Databricks and Apache Spark.
- Practical experience developing and maintaining data pipelines and ETL/ELT processes.
- Experience working with cloud-based data platforms, ideally within Microsoft Azure.
If you are looking to progress your career in data engineering and work within a global technology industry please submit your cv for immediate consideration.
Requirements
- 2 to 5+ yearsâ experience working in data engineering or closely related Big Data environments.
- Hands-on experience with Python and SQL, including clean coding and object-oriented programming practices.
- Experience working with Databricks and Apache Spark.
- Practical experience developing and maintaining data pipelines and ETL/ELT processes.
- Experience working with cloud-based data platforms, ideally within Microsoft Azure.
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