Data Engineer

YOUR QUALIFICATIONS AND SKILLS

• Degree in Computer Science, Engineering, or equivalent professional experience.
• 5+ years of relevant professional experience in data engineering, including leading technical workstreams, mentoring junior engineers, and driving software engineering best practices across teams.
• Expert-level proficiency in Python and SQL, with the ability to work effectively in polyglot environments including Scala and Java within client enterprise systems.
• Strong experience building Agentic AI, Generative AI, Machine Learning, and Business Intelligence solutions, including prompt engineering, RAG, embeddings, vector databases, context construction, and production output handling using modern frameworks such as Spark, LangChain, Databricks, Dask, Airflow, Dagster, and Kedro.
• Proven ability to lead AI feature delivery end to end, with strong judgment around model behaviour, evaluation, reliability, guardrails, and the trade-offs between quality, latency, and cost.
• Experience implementing data security and governance controls, including PII/PHI management, authentication, and role-based access control (RBAC).
• Deep knowledge of MLOps and LLMOps, including CI/CD for data workflows, automated agent evaluation using LangSmith, Opik, and Langfuse, and infrastructure as code with Terraform across AWS, Azure, and GCP.
• Excellent time management and autonomy, with the ability to independently own and deliver technical workstreams.
• Experience using AI coding agents such as Cursor, Claude Code, and Codex is an advantage.
• Strong written and verbal communication skills in English and the relevant local office language(s).
• Willingness to travel as required.