Data Engineer: Build Scalable Pipelines for AI & Analytics

Frontier Resourcing

Greater London

On-site

GBP 65,000 - 90,000

Full time

30 hours ago
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Job summary

Frontier Resourcing in London is seeking a Data Engineer to build reliable, scalable data platforms that support real-world decision making across advanced technology and secure environments. You will design pipelines for ingesting, transforming and processing complex datasets in collaboration with analytics and AI workflows.

The role requires strong data modelling, ability to work with structured and unstructured data, and a proactive, communicative teammate who can deliver incrementally within

Qualifications

  • Experience designing data pipelines and data transformations.
  • Proficient with Python, SQL and Spark.
  • Experience working with structured and unstructured data.
  • Clear communication and collaborative mindset.
  • Familiarity with agile delivery and incremental work.

Responsibilities

  • Designing and building data pipelines for ingesting, transforming and processing complex datasets
  • Working with both structured and unstructured data sources
  • Supporting analytics, machine learning and AI workflows with trusted data
  • Collaborating with engineers, analysts and project stakeholders to deliver practical solutions
  • Breaking work into manageable, testable increments and contributing to an agile delivery approach
  • Continuously improving data quality, reliability and operational efficiency

Skills

Data modelling
Structured data
Unstructured data
Communication
Agile delivery
Independent delivery

Tools

Python
SQL
Spark
Cloud platforms

Job description

Frontier Resourcing in London is seeking a Data Engineer to build reliable, scalable data platforms that support real-world decision making across advanced technology and secure environments. You will design pipelines for ingesting, transforming and processing complex datasets in collaboration with analytics and AI workflows.

The role requires strong data modelling, ability to work with structured and unstructured data, and a proactive, communicative teammate who can deliver incrementally within

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