Senior Data Engineer - End-to-End Data Pipelines

Impellam; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

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

You will work with Python and Spark to build production-grade pipelines, improve data quality and governance, and mentor others to raise engineering standards. The role emphasizes hands-on delivery and systemic problem solving.

Qualifications

• Significant hands‑on experience as a senior or lead data engineer on complex, real‑world systems.
• Strong Python and Spark production data pipelines experience.
• Understanding of data governance, security and compliance built into systems by design.

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 technical and non‑technical stakeholders to translate real problems into effective 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

Senior data engineer experience

Python

Spark

Data modeling

Data governance

Messy data handling

Delivery leadership

Tools

Spark

Python

Job description

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

You will work with Python and Spark to build production-grade pipelines, improve data quality and governance, and mentor others to raise engineering standards. The role emphasizes hands-on delivery and systemic problem solving.