Senior Data Engineer

Templeton & Partners - Innovative & Inclusive Hiring Solutions
London
5 days ago
Create job alert

Principal/Staff/Senior Data Engineer ⚙️

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! 🚀

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer (SQL Server / AWS)

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.