Are you ready to architect the future of data in a high-performance, mission-critical workplace? Come and join this established enterprise data team and lead and own the design and development of scalable, secure data solutions on AWS. In this 50/50 hands on role you’ll architect and optimise data pipelines, mentor engineers, and collaborate with stakeholders to deliver high-performance, future-ready data products. You'll also have an opportunity to implement
SageMaker! Key responsibilities
Lead end-to-end data platform architecture Design scalable data lake and data mesh solutions Build reusable data engineering frameworks and tools Partner with stakeholders to deliver effective data solutions Drive DataOps, CI/CD,
automation and observability Embed security, privacy, governance and reliability What we’re looking for
10+ years’
data engineering
experience. Strong
AWS data platform
and p ipeline
experience. Expertise in
Python,
Spark, dbt
and
Airflow . Strong knowledge of
distributed systems
and
data architecture . Experience with
Redshift, Iceberg
and
data lakehouse
patterns. Proven experience leading
data platform design and governance .
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📌 Principal Data Engineer (Haymarket)
🏢 M&T Resources
📍 Haymarket
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