As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream, you’ll work closely with business teams and data scientists to design, maintain, and improve machine learning applications. Your main responsibilities will include managing existing ML workloads and building new batch and on-demand pipelines to support advanced AI/ML models. You’ll collaborate with a global team to create scalable data architectures optimised for AI/ML, source and prepare high-quality data, and implement robust ETL processes.
As a senior member of the team, you will act as a mentor and advisor for junior engineers and take ownership as a project lead on strategic AI/ML initiatives.
Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads.
Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance.
Build and maintain feature stores, vector/embedding stores, and core data assets for ML.
Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring.
Implement data quality checks, drift detection, and automated retraining processes.
Collaborate with data scientists and engineers to deliver production-ready ML and AI systems.
Ensure AI/ML systems meet governance, security, and compliance requirements.
Participate in team meetings and contribute to project planning and strategy discussions.
Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics / Master’s degree is preferred.
At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities.
Strong experience with creation of data ingestion pipeline and ET process.
Strong knowledge of big data tool such as Spark, Databricks and Python.
Strong understanding of common machine learning techniques and frameworks (e.g. mlflow).
Strong knowledge of scrum practices and agile mindset.
Strong Analytical and Problem-Solving Skills with attention to data quality and accuracy.
Team-Oriented Mindset, working closely with data scientists, AI engineers, and cross-functional teams.
Flexi-Week and Work-Life Balance : We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development.
If you need support at any point in the application or interview process, please let us know.
Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.
#