Senior Data Engineer & Architect
Posted Updated 5
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Summary
A senior data role owning large-scale data and machine learning platforms: shaping architecture, standards, and technical strategy while building AI-ready solutions. Day to day this means designing ETL/ELT pipelines and data models, running production ML/MLOps, and mentoring engineers, centered on SQL, Python, and cloud data platforms.
Job Description:
Take ownership of large-scale data and machine learning platforms, shaping architecture, standards, and technical strategy. This is an opportunity to enjoy the freedom to solve complex challenges, influence decision-making, and build AI-ready solutions that power business success.
Skills & Experience:
- Minimum 7-10 years' experience in Data Engineering, Data Platform Development, or a similar senior-level role
- Strong SQL and Python expertise with extensive ETL/ELT and data modelling experience
- Proven experience owning platform architecture and driving technical standards
- Strong Machine Learning and MLOps experience in production environments
- Experience designing scalable, resilient, and secure data ecosystems
- Deep understanding of data governance, security, and platform reliability
- Ability to lead technical discussions and influence stakeholders across the business
- Strong mentoring skills with a passion for elevating engineering teams
- Experience with orchestration tools such as Airflow, Prefect, or Azure Data Factory advantageous
Qualification:
- Degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field
- Demonstrated experience leading enterprise-scale data architecture and platform initiatives
- Strong track record of building and deploying machine learning solutions at scale
- Experience working with modern cloud-based data platforms and AI-enabled technologies
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