Lead Data Engineer

Arcus Search; Tipton; On-site; GBP 60,000 - 80,000; Full time

Job summary

A dynamic investment firm in Tipton is looking for a Data Engineer to design and build a modern enterprise data platform. You will own the architecture, develop scalable data pipelines, and work with innovative technologies. If you thrive in a collaborative environment and are passionate about data, this role provides an excellent opportunity for growth and impact.

Qualifications

• Experience in building and maintaining scalable data pipelines.
• Knowledge of cloud and hybrid data infrastructure.
• Ability to support batch and streaming workflows.

Responsibilities

• Shape the technical direction and own key parts of the data platform.
• Work with cutting-edge tools across streaming pipelines and hybrid cloud.
• Mentor others and help build a culture of excellence.

Job description

Use your data engineering expertise to drive impact at a dynamic investment firm where data fuels strategy and innovation is part of the culture. This role offers the chance to design and build a modern enterprise data platform that supports global operations and critical business decisions. You won’t just maintain systems—you’ll own architecture, set standards, and deliver scalable pipelines that handle both real-time and batch data. Collaboration with talented engineers, analysts, and business leaders is key, all within a culture that values ownership, learning, and results.

Why this role matters

• Shape the technical direction and own key parts of the data platform
• Work with cutting-edge tools across streaming pipelines, hybrid cloud, and high-performance computing
• Mentor others and help build a culture of excellence
• Solve complex challenges where your work directly influences strategy
• Thrive in a growth-focused environment that invests in your development

What you’ll do

• Build and maintain scalable, secure data pipelines, data lakes, and models
• Architect cloud and hybrid data infrastructure for diverse data types
• Support batch and streaming workflows using modern technologies
• Partner with cross-functional teams to deliver impactful data solutions

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