Data Engineer

What You'll Be Doing

• Design, build, and maintain scalable data pipelines and data stores supporting analytics, reporting, and operational use cases
• Develop and optimise ingestion, transformation, and orchestration workflows across structured and unstructured data sources
• Embed data quality, lineage, reliability, and security controls throughout the engineering lifecycle
• Collaborate with analysts, data scientists, and business stakeholders to translate requirements into robust data models and reusable datasets
• Monitor and troubleshoot data jobs, improve pipeline performance, and support production operations and incident resolution
• Contribute to technical documentation, coding standards, and deployment and testing automation

• Strong proficiency in SQL and data modelling— you can design and optimize schemas for performance and scalability
• Hands‑on experience building ETL/ELT pipelines—from ingestion through transformation to delivery
• Solid Python skills and practical experience with cloud data platforms (AWS, Azure, or GCP)
• Minimum 2 years of experience in a data engineering or closely related role
• Bachelor's Degree in Computer Science, Information Systems, Data Science, or a relevant field

• Experience with Spark or distributed data processing frameworks
• Familiarity with data warehousing and data lake concepts and architectures
• Understanding of data governance, security practices, and CI/CD pipelines for data workflows

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.