Senior Data Engineer - - ML and AI Platform Engineering

Datatech Analytics; City Of London; Hybrid; GBP 70,000 - 80,000; Full time

Job summary

A leading AI-focused SaaS company in London is seeking a Senior Data Engineer to build and maintain cloud-native data and ML pipelines. The ideal candidate will have strong Python/PySpark skills and experience delivering production systems at scale. The company offers a supportive culture, clear progression paths, and a collaborative environment that focuses on professional development. This hybrid position requires in-office attendance from Monday to Wednesday.

Qualifications

• Proven delivery of production systems at scale.
• Experience with cloud-native data and ML pipelines.
• Ability to engage with technical and non-technical stakeholders.

Responsibilities

• Building and shipping cloud-native data and ML pipelines end to end.
• Strengthening CI/CD, deployments, and monitoring.
• Partnering with product and engineering to deliver outcomes.

Skills

Strong Python/PySpark

Solid SQL coding experience

Cloud experience

CI/CD practices

Observability

Collaborative mindset

Strong communicator

Job description

Senior Data Engineer - ML and AI Platform Engineering

Location: London - Hybrid - Monday to Wednesday in office

Salary: £70,000 to £80,000 Dependent on Experience

Ref: J13026

We are working with an AI first SaaS business that transforms messy first party data into trusted, decision ready insight.

They are scaling thoughtfully and building an engineering team where you will be heard, supported, and given real space to grow. If you enjoy building production grade data and ML pipelines, and want a culture that genuinely backs your development, this is worth exploring.

What you'll be doing

• Building, shipping, and owning cloud-native data and ML pipelines end to end
• Strengthening CI/CD, deployments, monitoring, and platform reliability
• Partnering with product, engineering, and data science to deliver outcomes, not experiments
• Helping define the standards, patterns, and ways of working as the platform evolves

What you'll bring

• Strong Python/PySpark and solid SQL coding experience
• Proven delivery of production systems at scale, not just prototypes
• Cloud experience and modern engineering practices, CI/CD, observability, automated testing
• Collaborative mindset, you share, ask, support, and raise the bar with the team
• Strong communicator, able to engage clearly with both technical and non-technical stakeholders

Why this team

• Supportive and inclusive culture where every voice is heard and respected
• Leadership that genuinely cares about representation and creating space for diverse careers in data
• Clear progression with options to grow into leadership, senior engineering, or deeper AI platform paths
• Strong mentoring, knowledge sharing, and a sensible approach to performance, wellbeing, and work life balance

No sponsorship or post study visas

APPLY NOW

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.