Senior Data Engineer - ML and AI Platform Engineering

Datatech Analytics; England; Hybrid; GBP 70,000 - 80,000; Full time

Benefits offered by this job

Clear progression opportunities

Supportive culture

Strong mentoring and knowledge sharing

Job summary

A leading analytics recruitment agency is looking for a Senior Data Engineer to work on machine learning and AI platform engineering. The role involves building and owning cloud-native data and ML pipelines, with strong support for career development in a hybrid work model. Candidates should possess strong coding skills in Python and PySpark, and a collaborative mindset. The position emphasizes a supportive and inclusive culture that values career progression and well-being.

Qualifications

• Strong coding experience in Python/PySpark and SQL.
• Proven delivery of production systems at scale.
• Experience with modern engineering practices and CI/CD.

Responsibilities

• Build and own cloud-native data and ML pipelines end to end.
• Strengthen CI/CD, deployments, monitoring, and platform reliability.
• Partner with product, engineering, and data science teams.

Skills

Strong Python/PySpark

Solid SQL coding experience

Collaborative mindset

Strong communication skills

Tools

CI/CD

Cloud experience

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.

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