Senior Data Platform Engineer

Overview

In this role you lead the Data Engineering team to deliver robust, scalable data pipelines and platforms that empower data scientists and analysts. You will drive a Databricks-centered transformation, collaborating with stakeholders to turn data into value. You’ll mentor the team, shape data architecture, and ensure high-quality releases. This is an opportunity to influence how data supports business decisions at scale in a fast-paced airline environment.

Pay / Benefits

• competitive base salary
• up to 20% bonus
• 25 days holiday
• pension
• life insurance
• Excellent staff travel benefits

Responsibilities

• Develop robust, scalable data pipelines for analysts and data scientists
• Hands-on work with Databricks, Spark, Spark API, Python, SQL Server, Scala
• Collaborate with data scientists and ML engineers to deploy models and algorithms
• Coach and mentor the team (including contractors) to improve standards
• Work with Business Analysts to deliver requirements and realize benefits
• Build a documentation library and data catalogue for developed code/products
• Oversee project deliverables and code quality for each release

Key requirements

• High level technical competence in relevant technologies with ability to learn new ones
• Clear written and verbal communication for technical and non-technical audiences
• Strong problem-solving, structured, process-driven, outcome-oriented
• Passion for data and hands-on learning of new technologies
• Self-directed and able to translate data strategy into practical steps

• clear communication
• problem-solving
• self-direction
• Cloud-based big data data solutions
• Python and modern software development practices (TDD, CI/CD)
• GitHub actions or Azure DevOps for deployment

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