Senior Data Engineer

Innova Recruitment

United Kingdom

On-site

GBP 60,000 - 80,000

Full time

14 days+

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Benefits offered by this job

Private Healthcare

Bonus

Job summary

A leading recruitment firm is seeking a Senior Data Engineer for a UK-based technology company at the intersection of healthcare and legal tech. This pivotal role involves designing a centralised data platform that supports AI development, creating scalable data pipelines, and implementing strict data governance. The successful candidate will enjoy ownership of tools and architecture while influencing AI production delivery. Competitive salary and benefits are offered for this full-time position.

Qualifications

Strong experience as a Data Engineer in production environments.
Experience building data platforms that directly support AI or ML teams.
Solid understanding of AI data lifecycles, including datasets, versioning, drift, and reproducibility.

Responsibilities

Design and build the company’s first centralized data platform focused on AI development.
Create scalable data pipelines for large, unstructured datasets.
Implement dataset versioning, reproducibility, and data lifecycle management.

Skills

Data Engineering

Python

SQL

Azure

Docker

Kubernetes

Data Governance

Compliance

Job description

Base Pay Range

Direct message the job poster from Innova Recruitment

Co-Founder & Director | 15+ Years in Tech Recruitment | Building High-Performing Engineering, Data & IT Teams Across the UK & USA

Private Healthcare and Bonus

We’re hiring a Senior Data Engineer for a UK-based technology company operating at the intersection of healthcare and legal technology.

This role exists to build the core data platform that underpins AI and machine learning work. The business is moving beyond fragmented data and needs someone who can design and deliver a structured, secure and compliant data foundation that AI teams can rely on.

This is a greenfield role with real ownership.

The Role

You’ll be responsible for designing and building the company’s first centralised data platform, with a clear focus on enabling AI development rather than analytics or BI.

Working closely with AI Engineers and MLOps Engineers, you’ll ensure datasets are structured, versioned and reproducible so models can be trained, evaluated, monitored and retrained reliably.

This role is hands-on and requires someone comfortable making architectural decisions with minimal direction.

What You’ll Be Doing

Designing and building a greenfield data architecture from scratch
Creating scalable data pipelines for large, text-heavy and unstructured datasets
Building ETL/ELT workflows that produce AI-ready datasets
Implementing dataset versioning, reproducibility and data lifecycle management
Supporting AI teams with training, validation and test data splits
Embedding data quality checks, monitoring, lineage and drift detection
Working closely with MLOps to support model monitoring and retraining
Ensuring data privacy, security and compliance are built in from day one
Using infrastructure-as-code and CI/CD practices for data pipelines

What They’re Looking For

Strong experience as a Data Engineer in production environments
Strong Python and SQL
Experience building data platforms that directly support AI or ML teams
Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility)
Experience with Azure-based data platforms
Experience with containerisation (Docker, Kubernetes)
Strong understanding of data governance, lineage and compliance
Comfortable working independently and making technical decisions

This is not a BI or stakeholder reporting role.

They’re not looking for someone focused on dashboards, executive reporting or analytics platforms. The data platform exists primarily to support AI model development and monitoring.

Experience working with sensitive or regulated data is important.

Why This Role