Data Engineer
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* 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:
* RAG and embeddings
* Context construction
* Production output handling
* 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
* Infrastructure as Code using Terraform
* Experience 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). #J-18808-Ljbffr
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