Overview

Senior Data Engineer | Software Company | Hybrid (Nottingham based) | up to £80k + bonus + benefits

This range is provided by KDR Talent Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

The Company

Our client is a fast-growing software company with a global footprint, delivering innovative solutions that help organisations operate smarter and more efficiently. They are investing heavily in their data capabilities to unlock insights, improve decision-making, and scale their services worldwide.

• Play a senior role in shaping the company’s data engineering strategy
• Opportunity to design and build a modern cloud-based data platform
• Hybrid working with flexibility and strong focus on employee wellbeing
• Competitive salary, bonus, and comprehensive benefits package

The Role

As Senior Data Engineer, you’ll design, build, and optimise a next-generation data platform that empowers teams across the business. You’ll work closely with architects and product teams, ensuring best practices are followed, while contributing hands-on expertise to create reliable, scalable, and business-ready data solutions.

• Develop and optimise ETL/ELT pipelines using modern data engineering tools
• Architect solutions leveraging cloud-native data services including Databricks and Data Lake technologies
• Implement data governance, lineage, quality, and security best practices
• Collaborate with analysts, scientists, and engineers to deliver business-ready solutions
• Optimise performance and cost efficiency of large-scale data processing workloads
• Build robust monitoring, alerting, and logging frameworks for data pipelines
• Contribute to the company’s overall data strategy and roadmap

Your Experience

You’re an experienced data engineer who thrives on solving complex challenges and enjoys working collaboratively to deliver value at scale.

• Proven experience as a Senior Data Engineer (or similar role)
• Strong knowledge of cloud data platforms (Azure preferred: Databricks, Data Factory, Data Lake, SQL/Synapse)
• Proficiency in Python and SQL (Scala a plus)
• Experience in data modelling, warehousing, and schema design
• Familiarity with CI/CD pipelines, infrastructure as code, and Git
• Understanding of data governance, quality, and security principles
• Excellent communicator with the ability to work across technical and non-technical teams
• Desirable: experience with real-time streaming (Kafka, Event Hubs), containerisation (Docker, Kubernetes), cloud certifications

Why Join?

• 27 days annual leave + Bank Holidays + wellbeing and volunteering days + your birthday off
• Healthcare cash plan & employer pension contributions
• Death in service benefit (4x salary)
• Regular social events and recognition awards
• Training and professional development opportunities
• Flexible hybrid working arrangements

Please click apply if you feel you are a good fit.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Staffing and Recruiting
• Software Development

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