Hybrid Data Engineer: Own the AI Data Pipelines

PLS Solicitors

Altrincham

Hybrid

GBP 60,000 - 90,000

Full time

6 hours ago
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Benefits offered by this job

Healthcare plan
25 days annual leave + bank holidays
Death in service
Employee assistance programme (EAP)

Job summary

PLS Solicitors is seeking a proactive Data Engineer to own the data foundation behind our AI platforms. You will design and run end-to-end data pipelines, improve the data warehouse, and support new platform builds while ensuring data quality and security.

This role reports to the Head of Development in a hybrid setup with in-office presence required two days per week. You will work closely with the AI Developer and wider tech team to deliver reliable data foundations, governance, and repeatable

Qualifications

  • Hands-on Data Engineer with ownership focus and 4–6+ years of experience.

Responsibilities

  • Deliver and own data strategy and pipelines for AI and reporting.
  • Design secure, least-privilege data access patterns.
  • Build and maintain datasets for AI, including versioned pipelines and evaluation data.
  • Replace legacy warehouse with modern pipelines and reporting.
  • Ensure data quality, lineage, and compliance across systems.
  • Document pipelines and datasets for future reuse.
  • Stay current with data engineering tooling and practices.

Skills

Strong SQL
Python
Production data pipelines
Azure
Databricks / Spark
Ownership / accountability
Security & data quality
Communication skills

Tools

SQL Server
Azure SQL
OpenEdge
Azure Service Bus

Job description

PLS Solicitors is seeking a proactive Data Engineer to own the data foundation behind our AI platforms. You will design and run end-to-end data pipelines, improve the data warehouse, and support new platform builds while ensuring data quality and security.

This role reports to the Head of Development in a hybrid setup with in-office presence required two days per week. You will work closely with the AI Developer and wider tech team to deliver reliable data foundations, governance, and repeatable

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