Deeplight·19 days ago
DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
As a DataOps Engineer, you will be the guardian of our modern Lakehouse environment, ensuring that our complex data ecosystem remains reliable, transparent, and high-performing. Positioned at the vital intersection of Data Engineering and Operations, you will lead the charge in proactive monitoring and rapid incident response for mission-critical pipelines, including AWS Glue, dbt, and Kafka.
This is a high-visibility role where you won't just react to issues—you will own the end-to-end incident lifecycle, drive deep root-cause analysis (RCA), and collaborate with development teams to build permanent automated preventions. Whether you are managing real-time operational dashboards or leading daily reviews of platform health, your mission is to guarantee data freshness and platform integrity, turning operational stability into a competitive advantage for our data-driven decision-making.
Your responsibilities as a DataOps Engineer will include, but not be limited to;
As an AI consultancy, our greatest asset is the expertise of our people.
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.