fairness audits, and bias mitigation Familiarity with intelligent automation or RPA platforms Cloud platform experience (AWS, Azure, or GCP) and managed AI/ML services Data platform experience (Snowflake, Dagster) Experience collaborating with Data Analytics and Data Scientists to translate exploratory analysis and models into production-ready AI/ML solutions Experience leveraging and fine-tuning third-party or More ❯
the portfolio. Key Requirements: Strong proficiency in Python and PySpark Successful track history in a Data Engineering role including Database Management (ideally SQL), Data Orchestration (ideally Apache Airflow or Dagster), Containerisation (ideally Kubernetes and Docker) .Data Pipelines (big data technologies and architectures) Experience in Financial Services (ideally Commodity) Trading. Bachelor's degree in Information Systems, Computer Science, Engineering, or More ❯
algorithms in Python, applying best-in-class practices such as strict typing, modular design, and automated testing. Architect robust data cleaning pipelines and orchestrate workflows using tools such as Dagster within cloud-based CI/CD environments. Drive key system design and modelling decisions-carefully balancing speed, scalability, technical complexity, and business value. Partner with stakeholders to understand operational … learning, and operations research methods. Solid background in software engineering for data science products: version control (Git), testing (unit, regression, E2E), CI/CD (GitHub Actions), and orchestration (Airflow, Dagster). Proficient in SQL and cloud platforms (AWS preferred), with exposure to model/data versioning tools (e.g. DVC), containerised solutions (Docker, ECS), and experiment tracking (e.g. MLflow). More ❯
