Lead Data Engineer

Pontoon
Warwickshire
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.Are you ready to lead the charge in data engineering within the utilities industry? Join our Global People Analytics team and help shape the future of energy! We're on the lookout for an experienced Lead Data Engineer who's passionate about leveraging data and analytics to drive performance and enhance workforce capability.Role: Lead Data EngineerDuration: 12 Months Location: Remote (Occasional travel to London/Warwick for Workshops)Rate: £750 per day (umbrella) Why Join Us?At our organisation, we embrace innovation and collaboration, working in a fast-paced environment that encourages growth and creativity. You will be an integral part of a team dedicated to transforming how we leverage data to empower our people and deliver exceptional value to the communities we serve.Key Responsibilities:Collaborate with Analytics & Reporting workstreams and IT to design and implement robust data pipelines that integrate SuccessFactors HCM and other HR data sources with SAP Datasphere.Work independently to tackle complex issues and utilise innovative approaches to meet both technical and stakeholder needs.Design logical and technical data model specifications, documenting workflows and architecture for future scalability.Create and implement data models that optimise SuccessFactors data for PowerBI dashboarding and analytics, involving detailed ETL, SQL development, and data mapping.Ensure data accuracy and integrity through comprehensive validation and quality checks, complying with data governance policies. What We're Looking For:Proven experience in data engineering with a focus on SAP Datasphere and SuccessFactors HCM.Strong skills in data modelling, ETL processes, and SQL, with a track record of delivering innovative data warehousing solutions.Ability to communicate effectively with both technical and non-technical stakeholders, translating complex data concepts into understandable terms.Familiarity with Data Governance concepts and best practises for privacy and security.A degree in Human Resources Management, Data Analytics, or a related field, with 5-10 years of relevant experience.Qualifications:SAP Datasphere and/or SuccessFactors certification is preferred.Experience with PowerBI or other analytical visualisation platforms would be advantageous.Prior experience in HR Transformation and system implementation is highly desired.What's In It For You? This is a remote role with occasional travel to Warwick or London to attend workshops while being part of a dynamic, diverse, and inclusive team.Contribute to meaningful projects that have a real impact on the energy sector and our workforce.Enjoy a collaborative environment that celebrates diversity and fosters innovation.If you're excited about the opportunity to make a difference through data engineering, we want to hear from you! Join us in revolutionising the utilities industry and empowering our people for great performance.Candidates will ideally show evidence of the above in their CV in order to be considered.Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunities employer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.