Data Engineer (AI & Machine Learning)

What you will be hopping into:

• Designing, building, and optimising scalable data pipelines for structured and unstructured data
• Developing and maintaining ETL/ELT processes to fuel analytics and ML workloads
• Working closely with Data Scientists and ML Engineers to bring ML models to life in production
• Building and managing data architectures that support AI and ML use cases
• Ensuring top-tier data quality, reliability, security, and governance
• Handling large datasets using distributed data processing frameworks
• Contributing to MLOps practices, model monitoring, and automation
• Supporting cloud-based data platforms and CI/CD pipelines

Skills & Experience:

What you will need in your basket:

• Minimum 3+ years’ experience in a Data Engineering role
• Strong Python skills
• Hands-on experience with SQL and relational/non-relational databases
• Solid exposure to AI / Machine Learning pipelines and ML data preparation
• Experience working with cloud platforms (AWS, Azure, or GCP)
• Familiarity with big data tools like Spark, Databricks, or Kafka
• Experience with data warehousing solutions
• Good understanding of Git and CI/CD practices

Qualification:

• A Bachelors degree in Computer Science or related qualification