Senior Data Engineer

Templeton & Partners - Innovative & Inclusive Hiring Solutions; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading company in the energy trading sector seeks a Senior IT Recruitment Consultant to architect data platforms and drive observability practices. The role requires extensive experience in backend engineering, particularly with Python and Azure, and offers a hybrid work arrangement.

Qualifications

• 10–15 years of backend engineering experience in Python.
• Proven track record building low-latency data aggregation solutions.

Responsibilities

• Architect, prototype, and deliver robust Python-based web services on Azure.
• Design and implement automated deployment pipelines.

Skills

Python

Communication

Leadership

Education

University degree in Computer Science

Tools

Azure

Prometheus

Grafana

GitHub Actions

Azure DevOps

Job description

Direct message the job poster from Templeton & Partners - Innovative & Inclusive Hiring Solutions

Senior IT Recruitment Consultant - Templeton & Partners, Psychologist-HR-D&I Champion, contact especially for working in jobs/contracts in Agile…

Location: London, 2 days hybrid

Type: 12-Month Contract (Inside IR35) with Possible Extensions

About the Role

Are you a visionary technologist who loves turning raw data into strategic advantage? As a Principal/Staff Data Engineer in this global client in the energy trading sector , you will architect end-to-end data platforms, champion observability and SRE best practices, and influence how our client's global business leverage data for faster, smarter decisions.

What You’ll Do

• Lead Hands-On Delivery: Architect, prototype, and deliver robust Python-based, containerized web services on Azure
• Build CI/CD Excellence: Design and implement automated deployment pipelines to drive speed, reliability, and low-latency data aggregation
• Drive Observability: Embed SRE observability frameworks (logging, metrics, tracing) into production environments
• Shape Data Strategy: Partner with business leaders to conceptualize and deliver data foundations that unlock value across global operations
• Community Leadership: Mentor and grow a vibrant community of data engineers through training, conference talks, and best-practice sharing
• Cross-Functional Collaboration: Bridge People, Process, Data, and Technology to drive continuous improvement and a data-driven culture

Who You Are

• 10–15 years of backend engineering experience in Python, with deep expertise in Azure and containerized microservices
• Proven track record building low-latency data aggregation solutions and large-scale data platforms
• Hands-on with SRE observability tools (e.g., Prometheus, Grafana, ELK) and CI/CD pipelines (GitHub Actions, Azure DevOps)
• Strong communicator—comfortable influencing both technical teams and senior stakeholders
• Passionate about up-skilling and community leadership; you love teaching and presenting at meetups or conferences

Must-Have Qualifications

• University degree in Computer Science, Engineering, or related IT discipline
• 11+ years in IT, with 2+ major projects delivering production-scale data solutions
• Expert in OLTP/OLAP database design, optimization, and complex query performance
• Proven ability to design data governance, modeling, and quality initiatives

Nice-to-Have

• Experience in energy trading or risk modeling
• Exposure to SAP (BODS, SLT, HANA, BW) and analytics tools (SAC, WebI)
• Leadership of small agile teams (Scrum/Kanban) and external partner ecosystems

Ready to get started? Email your latest CV—highlighting your relevant to this job key skills, experience, and daily rate—and let’s connect!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology, Engineering, and Finance

• Industries

  Energy Technology, Oil, Gas, and Mining, and Services for Renewable Energy

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