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A hybrid Engineering Leadership role at Coates Group.
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Original listing text, shown exactly as published by the company.
•Architect and evolve a scalable, cost-efficient AWS data platform that enables enterprise analytics, reporting, and future AI capabilities
•Design and implement reliable, production-grade data pipelines and processing frameworks for batch and near real-time data
•Define enterprise standards for data architecture, modeling, observability, reliability, and platform performance
•Implement and maintain infrastructure-as-code, CI/CD pipelines, and automated deployment practices across the data platform
•Enable high-quality, accessible, and governed data products through scalable semantic layers, curated datasets, and transformation standards
•Provide hands-on technical leadership, mentoring, and architectural direction for a growing team of data engineers and cross-functional stakeholders
Capabilities
•Ability to design scalable, secure, and cost-efficient data architectures that support enterprise analytics and future AI initiatives
•Strong technical problem-solving and decision-making skills, including balancing tradeoffs between scalability, complexity, performance, and cost
•Ability to establish engineering standards, operational best practices, and reliable platform governance processes
•Strong understanding of CI/CD pipelines, modern software engineering practices, and production support models
•Experience enabling accessible, high-quality data products for analytics, reporting, and downstream business consumers
•Ability to work collaboratively across technical and business stakeholders while providing hands-on technical leadership and direction
•Exposure to streaming technologies (e.g., Kafka or Kinesis), transformation frameworks such as dbt, multi-cloud environments, and/or ML and data science workflows is beneficial
•6+ years of experience in data engineering with strong expertise in scalable system and platform design
•Proven experience building, modernizing, or significantly evolving enterprise data platforms and architectures
•Deep hands-on experience within the AWS data ecosystem, including production-scale data lake or lakehouse environments utilizing technologies such as S3, Glue, Spark, Athena, and/or Redshift
•Strong proficiency in Python and SQL with experience developing production-grade data pipelines and transformation workflows
•Experience implementing workflow orchestration solutions, preferably Airflow…
Coates Group
Engineering Leadership
36 open roles on Sydicom
Coates Group is a leading equipment hire and solutions provider. The company offers a comprehensive range of rental equipment and services primarily for the construction, mining, and infrastructure industries.
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