Senior Data Engineer

Brighter Futures Start Here At Anko you’ll be joining a diverse team who come together to collaborate globally around tech. We are an innovation hub which power and support our retail brands. You’ll feel the impacts of the work you’ll do for our millions of customers and team members every day. Our brands are focused on being customer-led, digitally enabled retailers, providing you with challenging and rewarding work that you will be proud of.Join our team, choose your own path and work on projects that excite you. Job Description: 5–7 years of overall experience in Data Engineering , building scalable and production-grade data platforms. 3+ years of hands-on experience with AWS services , including IAM, API Gateway, EC2, S3 , and related cloud services. 2+ years of experience in containerization and orchestration , including creating, deploying, and managing containers using Docker and Kubernetes . 2+ years of experience building and managing CI/CD pipelines using tools such as Jenkins, GitHub Actions , or equivalent. 2+ years of hands-on experience with Snowflake , including data warehousing, data modelling, performance optimization, and integration with ETL/ELT pipelines. 5–7 years of strong experience with ETL/ELT frameworks and data integration , including designing reliable and scalable data pipelines. 5–7 years of experience with Big Data technologies such as Apache Spark and Kafka , including large-scale data processing and streaming workloads. Strong programming experience in Python , with working knowledge of Java or Scala for data engineering applications. AI / Generative AI experience: Exposure to integrating LLMs into enterprise applications and data platforms, including prompt engineering, embeddings, RAG (Retrieval-Augmented Generation) , vector databases, and LLM APIs. Agentic AI: Understanding or hands-on experience building AI agents and agentic workflows , including tool/function calling, multi-step reasoning workflows, orchestration, and integration of agents with enterprise data sources and APIs. AI Data Engineering: Experience preparing and managing structured/unstructured datasets for AI/ML and GenAI workloads , including data ingestion, transformation, chunking, metadata management, embeddings, and data quality/governance. Good to have: Exposure to frameworks and platforms such as LangChain, LangGraph, LlamaIndex, Amazon Bedrock, or Azure OpenAI for developing enterprise GenAI or Agentic AI solutions. A place you can belong: We celebrate the rich diversity of the communities in which we operate and are committed to creating inclusive and safe environments where all our team members can contribute and succeed. We believe that all team members should feel valued, respected, and safe irrespective of your gender, ethnicity, indigeneity, religious beliefs, education, age, disability, family responsibilities, sexual orientation and gender identity and we encourage applications from all candidates.