Our client

Our client is a large online technology platform, part of a global publicly listed travel group with tens of thousands of employees worldwide. They are continuing to invest heavily in data and AI/ML capabilities that power pricing and bidding decisions across a massive, high-traffic marketplace.

About the Role

They are hiring a Lead/Staff Data Engineer to join a high-impact team sitting at the intersection of data engineering, business analytics, ML engineering, and backend engineering. The team builds the pipelines, platforms, and tools that let the Data Science and Performance Marketing teams run experiments in production at scale.

This is a hands-on technical leadership role for an experienced engineer with a strong data-driven mindset. You will work across structured and unstructured data at massive scale, on systems where quality, accuracy, speed, and efficiency are critical.

You will take end-to-end ownership of building the systems that let experiments launch in production at pace.

Relocation sponsorship is provided

Responsibilities

Provide technical leadership in improving the scalability, quality, accuracy, speed, and efficiency of existing data and ML processes
Analyze data to support better business decision-making
Design, build, and test tools, libraries, pipelines, and platforms that help Data Science and Business teams launch experiments in production
Partner with experienced engineers and product owners to identify and build tools that automate large-scale data management, analysis, and ML tasks
Take end-to-end ownership of systems that enable rapid experiment launches in production

Qualifications

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
6+ years of software engineering experience, including 4+ years specifically in data/ML engineering
Expert in designing, writing, and maintaining data pipelines and systems while ensuring data quality
Expert-level SQL, Python3, and a JVM-based language (Java or Scala)
Expert in software design/design patterns/best practices, and both functional and object-oriented programming
Comfortable across a modern data/ML stack: Python3, Scala Spark, Hadoop, SQL, S3, and similar
Familiar with general machine learning concepts and common models (e.g. regularization, tree models)
Familiar with core statistical analysis concepts (e.g. p-value, z-score)
Strong analytical problem-solving capabilities and a data-driven engineering mindset

Nice to Have

Good understanding of Hadoop ecosystems and Big Data architecture
Experience with Scala/Scala Spark development
Comfort working in an agile, test-driven environment
Linux systems administration skills

Lead/Staff Data Engineer

Staff/Lead Data Engineer