Senior Data Engineer - End-to-End Data Pipelines & Platforms

The Client Group; England; On-site; GBP 70,000 - 110,000; Full time

Job summary

Guidant Global is seeking a senior data engineer to design, build and operate enterprise-scale data pipelines and platforms. You will lead complex end-to-end data engineering work, collaborating with delivery teams and stakeholders to translate real problems into robust data solutions.

You will apply strong Python and Spark skills to production-grade pipelines, manage data governance, and improve data quality and metadata.

Qualifications

• Significant hands-on experience as a senior or lead data engineer on complex, real-world systems.
• Strong Python and Spark skills, with evidence of building and maintaining production data pipelines.
• Understands the data engineering lifecycle: ingestion, transformation, storage and serving.

Responsibilities

• Design, build and improve enterprise-scale data pipelines, platforms and services.
• Lead complex data engineering work end to end, from problem definition through build and operational use.
• Work directly with stakeholders to translate real problems into data solutions.
• Engineer data integrations across diverse systems, including legacy and modern platforms.
• Build production-grade data solutions using strong software and data engineering practices.
• Improve data quality, lineage and metadata as first-class engineering concerns.
• Diagnose and resolve complex data and platform issues in constrained environments.
• Provide technical leadership and raise standards through example and delivery.

Skills

Python

Spark

Data pipelines

Job description

Guidant Global is seeking a senior data engineer to design, build and operate enterprise-scale data pipelines and platforms. You will lead complex end-to-end data engineering work, collaborating with delivery teams and stakeholders to translate real problems into robust data solutions.

You will apply strong Python and Spark skills to production-grade pipelines, manage data governance, and improve data quality and metadata.