Senior Data Engineer
Our client is a fast-growing consumer technology business, investing in their next-generation data platform to enable advanced analytics, machine learning, and real-time personalised customer experiences.
They are on the lookout for an experienced Senior Data Engineer to design scalable data platforms, build reliable pipelines, and support analytics and machine learning initiatives across the business.
What You'll Do
Design and maintain scalable cloud-based data pipelines and modern data warehouse solutions.
Build robust data models and high-quality datasets to support analytics, product, and business teams.
Partner with Machine Learning Engineers to enable model training, real-time inference, and recommendation systems.
Drive engineering best practices across CI/CD, testing, monitoring, data quality, and platform reliability.
Requirements
Essential Skills & Experience
4+ years of experience in Data Engineering with strong SQL, Python, and data modelling expertise.
Hands-on experience with modern cloud data stacks such as BigQuery, dbt, Airflow, and cloud platforms (GCP, AWS, or Azure).
Experience supporting machine learning data pipelines, recommendation engines, or real-time personalisation platforms.
Strong communication, problem-solving, and stakeholder management skills, with the ability to work collaboratively across engineering, product, and analytics teams.
Nice to Have
Experience with streaming or distributed data processing technologies such as Spark, Kafka, Beam, or Flink.
Exposure to MLOps, feature stores, or production ML infrastructure.
Experience with serverless or containerised cloud environments (e.g. Cloud Run, ECS, Kubernetes).
Argyll Scott Asia is acting as an Employment Agency in relation to this vacancy.