Senior Data Engineer (AI/ML Deployment)

Datatech; City Of London; Hybrid; GBP 65,000 - 75,000; Full time

Job summary

A forward-thinking AI-first company in London seeks a Senior Data Engineer with AI/ML deployment experience. In this hybrid role, you'll design cloud-native data pipelines and lead CI/CD automation efforts. This position offers the chance to influence product direction in a high-growth environment. Ideal candidates have 3+ years in data engineering, strong SQL and Python skills, and experience with cloud platforms. Competitive salary offered in the range of £65,000-£75,000.

Qualifications

• 3+ years' experience in data engineering or cloud platform development.
• Experience with CI/CD tools, DevOps, and automation practices.
• Solid understanding of data modelling, orchestration, and workflow management.

Responsibilities

• Design and build high-performance ETL/ELT pipelines.
• Lead CI/CD automation and production deployments.
• Integrate AI and ML outputs into scalable data workflows.
• Implement monitoring and data quality frameworks.
• Mentor and guide other engineers.

Skills

Data engineering expertise

Cloud platform development

Proficiency in SQL

Proficiency in Python

CI/CD tools experience

DevOps practices

Automation skills

Tools

Azure

AWS

GCP

Snowflake

Databricks

Job description

Senior Data Engineer - (AI/ML Deployment Experience Required)

Location: London (Hybrid: Monday-Wednesday in office)

Salary: 65,000- 75,000 DoE

Job Ref: J13026

An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a forward-thinking Senior Data Engineer with strong deployment experience to help manage and scale its intelligent platform. Data sits at the heart of everything they do - transforming complex, messy datasets into actionable insights that empower smarter decisions and accelerate growth across industries. As they enter an exciting phase of rapid expansion, they're looking for a talented engineer to join them on this journey and help shape the future of their data-driven platform.

The Role

The Senior Data Engineer will take ownership, shape the data foundations, and help power the next generation of AI-driven solutions. This is a hands-on, high-impact role where you'll design and build cloud-native data pipelines, champion best practices and automation, and help the engineering team scale with confidence. You'll also have the opportunity to mentor others and shape the direction of the platform as it evolves, pushing the boundaries of what's possible with data and AI.

What You'll Do

• Design and build high-performance ETL/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks).
• Lead CI/CD automation, environment versioning, and production deployments for data products.
• Integrate AI and ML outputs into scalable, automated data workflows.
• Implement monitoring, alerting, and data quality frameworks that ensure reliability and trust.
• Mentor and guide engineers, fostering a culture of excellence, innovation, and clean data design.

Experience Required

• 3+ years' experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks)
• Strong proficiency in SQL and Python.
• Proven experience with CI/CD tools, DevOps, and automation practices.
• Solid understanding of data modelling, orchestration, and workflow management.
• A desire to lead by example and elevate the people around you.

The Opportunity

• Shape the data backbone of a next-generation AI platform.
• Work with autonomy in a high-growth, collaborative environment that values your ideas.
• Influence real product direction and see the impact of your work every day.
• Join a team where innovation, curiosity, and data craftsmanship are celebrated.

If you're ready to take ownership, push boundaries, and build something truly impactful we want to hear from you!

Please note that sponsorship is not available for this position, now or in the future.