Senior Data Engineer - Scalable Pipelines & AI-Driven Tools

Apple

Singapore

On-site

SGD 140,000 - 210,000

Full time

20 hours ago
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Job summary

Apple is seeking a Senior Data Engineer to design, build, and maintain end-to-end data pipelines and operational software for the Pacific Operations team within Worldwide Sales & Operations Support. You will bridge complex data ecosystems, implement robust ingestion and transformation, and deliver data-driven decision tools across relational, vector, and graph stores.

You will collaborate with data science to productionalise data and build scalable batch/streaming pipelines, applying AI/ML

Qualifications

  • 7+ years building production data pipelines and backend services.
  • Strong Python, SQL, and data modelling (dbt).
  • Experience with orchestration tools (Airflow, Dagster, Prefect) and modern warehouses (PostgreSQL, Snowflake).
  • Experience with vector and graph databases (Milvus, pgvector, Neo4j).
  • API development with modern frameworks and async queues/streams (FastAPI, Kafka, Redis).
  • Understanding AI agents, tool usage, retrieval and RAG pipelines.

Responsibilities

  • Design robust ingestion and transformation pipelines.
  • Build polyglot storage strategies (relational, vector, graph).
  • Develop backend services, APIs, and user interfaces that turn data into operational tools.
  • Maintain scalable batch and streaming data pipelines across storage paradigms.
  • Collaborate with data science to operationalise data for decision‑making.
  • Ensure observability with data contracts, tests, CI/CD, and monitoring.

Skills

Python
SQL
dbt
APIs

Education

Bachelor's degree in CS or related

Tools

Airflow
Dagster
PostgreSQL
Snowflake
Neo4j

Job description

Apple is seeking a Senior Data Engineer to design, build, and maintain end-to-end data pipelines and operational software for the Pacific Operations team within Worldwide Sales & Operations Support. You will bridge complex data ecosystems, implement robust ingestion and transformation, and deliver data-driven decision tools across relational, vector, and graph stores.

You will collaborate with data science to productionalise data and build scalable batch/streaming pipelines, applying AI/ML

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