Data + AI Engineer

Job Summary

You will build the data foundations that AI runs on, and the AI features built on top of them, for our clients. Your primary strength is data engineering.

Our projects span data engineering, AI, ML and deep learning, and you will work across all of them. If AI and ML are newer to you, you will build those skills on the job with our support.

Responsibilities

• Design and build batch and streaming data pipelines on cloud data platforms
• Design data models and build warehouses and lakehouses on Databricks, Snowflake, BigQuery, Redshift or similar
• Write efficient SQL and tune query and pipeline performance
• Prepare and serve data for ML models and GenAI applications, including RAG and vector stores
• Build AI features on top of the data: LLM-powered workflows, RAG and ML models
• Put data quality checks, orchestration and CI/CD in place
• Work with clients to turn business problems into well-scoped solutions, and explain trade-offs clearly

Requirements

• 3+ years of hands-on data engineering experience
• Strong SQL (window functions, joins, query optimisation) and data modelling (schema design)
• Strong Python and PySpark
• ETL / ELT and orchestration (Airflow, dbt or similar)
• At least one cloud (AWS, Azure or GCP) and one data platform (Databricks, Snowflake or similar)
• Git and CI/CD
• Working knowledge of LLM APIs and RAG, and basic ML with scikit-learn
• Clear written and verbal communication, and ownership of your work

Good to have

• Databricks experience or certification (Unity Catalog, Delta Lake, Asset Bundles)
• ML model building and deployment (MLflow, FastAPI, Docker)
• Agent frameworks (LangGraph, LlamaIndex or similar) and vector databases
• Streaming (Kafka, Spark Structured Streaming)
• Terraform or other infrastructure-as-code
• A public GitHub, blog or open-source contributions. Show us your work!

Qualifications

• Bachelors or Masters degree in Computer Science, Engineering or a related field
• Certifications in Databricks, cloud or GenAI are a plus

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.