• Develop creative, forward-thinking solutions to meet business needs, exploring options beyond existing approaches to deliver resilient, scalable outcomes.
• Design and implement pipelines for real-time analysis and critical operational decision-making.
• Build end-to-end ELT pipelines, from sourcing data to presenting clear outputs for internal customers.
• Write high-quality, testable, readable code; participate in code reviews; support solution design; build automated tests; and contribute to documentation throughout the development lifecycle.
• Collaborate closely with developers, a Scrum Master, and a Product Owner to ensure data effectively enables the client experience.
• Contribute to continuous improvement of technical standards, engineering practices, technologies, and processes.
• Own deployment and operational responsibilities across development, test, and production environments.
• Participate fully in agile ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives.

• Bachelor's degree in Computer Science, STEM, or a related field is beneficial but not essential.
• Proven experience as a Data Engineer.
• Strong proficiency in Python and SQL, with solid experience working in cloud environments (AWS preferred).
• Skilled in transformation tools such as PySpark or Pandas.
• Knowledge of graph databases is an advantage but not required.

• Experience using data quality frameworks (e.g., Great Expectations).
• Hands-on experience building cloud infrastructure using IaC tools such as CloudFormation or Terraform.
• Strong understanding of software development best practices, including testing, code quality, and consistency.
• Excellent communication skills with the ability to translate technical information for non-technical stakeholders.
• Experience working within agile environments; familiarity with the Scrum framework is a plus.
• A growth mindset and a desire to develop both technically and professionally.

Please apply within for further details