Product Manager – Data Engineering & Reporting (Retail)

Space NK
St Albans
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Senior Data Analyst

Lead Data Scientist

Data Analyst (Cars Data Science & Analytics) - Manchester, UK

Senior Staff Data Engineer

Product Manager – Data Engineering & Reporting (Retail)

Space NK – London Colney, England, United Kingdom


Get AI‑powered advice on this job and more exclusive features.


Location: Hybrid, 3 days per week in London office.


Reports to: Head of Product Management.


About The Role

We are looking for a mid‑level Product Manager to join our Product Management team and take ownership of delivery within our Data Engineering & Reporting area. This is a hands‑on role suited to someone who thrives on improving processes, driving clarity, and delivering business value.


You will work closely with Principal Data Engineers, Reporting teams, and stakeholders across the business to ensure priorities are clear, work is managed effectively, and outputs are accurate and timely. This is an opportunity to have a big impact in a high‑potential team — helping them to improve ways of working, deliver at pace, and unlock business value.


Key Responsibilities

  • Prioritisation & Planning: Collaborate with business stakeholders to understand requirements, assess business value, and translate these into a clear, prioritised roadmap.
  • Delivery Management: Improve team processes around work in progress, estimation, and delivery to ensure consistent, high‑quality outputs.
  • Stakeholder Engagement: Act as the primary interface between the business and the Data Engineering/Reporting teams, managing expectations and ensuring alignment on priorities.
  • Process Improvement: Identify bottlenecks, introduce better Agile practices (Scrum/Kanban), and drive improvements in predictability and throughput.
  • Outcome Focused: Ensure delivery of key business initiatives on time, with accuracy and quality.
  • Cross‑Functional Collaboration: Work closely with engineering, reporting, and business stakeholders to balance technical complexity with business value.

About You

  • 2–4 years’ experience as a Product Manager (or similar role) with proven success delivering within a single product area.
  • Strong stakeholder management skills — able to influence, negotiate, and manage expectations at all levels.
  • Experience improving delivery processes within an Agile environment.
  • Comfortable working with technical teams (data engineering, reporting, analytics) and translating complex requirements into business value.
  • Excellent prioritisation skills — able to balance urgent business needs with longer‑term strategic goals.
  • Strong communication and organisational skills.

What We Offer

  • Competitive salary plus benefits.
  • Hybrid working model – 3 days per week in our London office.
  • Opportunity to make a real impact in shaping how the business uses data and reporting to drive decisions.
  • Career development and the chance to broaden your experience across wider retail product areas.

All applicants must have the right to live and work in the UK.


Space NK are an equal opportunities employer.


#J-18808-Ljbffr

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

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.

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.