Data Engineer- Asset Management in Reading
Data Engineer- Asset Management

Data Engineer- Asset Management in Reading

Reading Full-Time 45000 - 55000 £ / year (est.) No home office possible
Project People

At a Glance

  • Tasks: Transform complex data into actionable insights for asset performance and decision-making.
  • Company: Leading mobile telecoms firm focused on infrastructure and asset management.
  • Benefits: Flexible working, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team with a focus on innovation and continuous improvement.
  • Why this job: Make a real impact on infrastructure reliability and efficiency while developing your data skills.
  • Qualifications: Experience in performance analysis, strong data skills, and knowledge of asset management principles.

The predicted salary is between 45000 - 55000 £ per year.

Asset Data Engineer / Asset Performance Analyst - Permanent - Reading (2 days/week in office) Mobile Telecoms Infrastructure - Physical Assets.

The Infrastructure / Asset Performance Analyst plays a critical role in improving the reliability, efficiency, and value of infrastructure assets. Sitting at the intersection of data, operations, and asset management, this role provides the evidence base that underpins performance improvement, risk management, regulatory assurance, and investment decisions.

You’ll translate complex operational and asset data into clear, trusted insight that helps leaders understand how the infrastructure is performing today—and where to intervene to improve outcomes tomorrow. Infrastructure performance is only as good as the insight behind it. This role ensures decisions are grounded in trusted data, robust analysis, and clear accountability. By providing clarity on performance, risk, and value, the Infrastructure Performance Analyst enables smarter maintenance, targeted investment, and sustained service excellence—today and in the long term.

You’ll own the performance insight that drives smarter asset and operational decisions.

  • Performance Measurement & Insight
  • Define, track, and continuously refine KPIs and KRIs covering asset health, reliability, availability, safety, cost, and service performance.
  • Conduct trend, variance, and root-cause analysis, quantifying impacts on cost, risk, and customer/service outcomes.
  • Benchmark performance against internal targets and external peer or industry standards where available.
  • Data Management & Analytics
  • Source, cleanse, and integrate data from asset systems (EAM/CMMS), telemetry/SCADA, IoT, and finance/operations platforms.
  • Develop repeatable analytical pipelines, including ETL processes, data quality checks, and reconciliations.
  • Maintain data dictionaries, metric definitions, and lineage to ensure consistency and trust in reporting.
  • Apply statistical and analytical techniques (forecasting, reliability modelling, segmentation) to identify performance drivers and emerging risks.
  • Asset & Reliability Engineering Support
  • Partner with Asset Management and Operations teams to assess maintenance strategies, failure modes, and lifecycle cost impacts.
  • Performance Governance & Assurance
  • Support the performance framework, including definitions, targets, thresholds, tolerances, and escalation mechanisms.
  • Prepare performance packs for monthly and quarterly reviews, audit committees, and regulatory or shareholder submissions.
  • Identify opportunities to automate reporting, improve data quality, and standardise performance metrics.
  • Document methodologies, manage version control, and embed best practice across the performance function.

Proven experience in performance analysis within infrastructure, operations, or asset-intensive environments. Strong data skills: Excel, SQL, and at least one BI/analytics tool (Power BI preferred). Solid grounding in statistics, time-series analysis, and building clear, reliable dashboards and reports. Understanding of asset management principles, including maintenance strategies, reliability, and lifecycle costs. Ability to translate analysis into practical recommendations for operational and senior stakeholders. Exposure to telemetry/SCADA or IoT data. Familiarity with ISO 55000 and performance governance frameworks. Background in regulated sectors (telecoms, energy, water, transport).

Data Engineer- Asset Management in Reading employer: Project People

As a leading player in the mobile telecoms infrastructure sector, we pride ourselves on fostering a dynamic work culture that values innovation and collaboration. Our Reading location offers a flexible working environment with two days a week in the office, promoting a healthy work-life balance while providing ample opportunities for professional growth and development. Join us to be part of a team that not only drives performance improvement but also invests in your career through continuous learning and support.
Project People

Contact Detail:

Project People Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer- Asset Management in Reading

✨Tip Number 1

Network like a pro! Attend industry events, webinars, or local meetups related to asset management and data engineering. It's a great way to meet people in the field and get your name out there.

✨Tip Number 2

Don’t just apply and wait! Follow up on your applications with a friendly email or LinkedIn message. It shows your enthusiasm and keeps you on their radar.

✨Tip Number 3

Prepare for interviews by practising common questions and scenarios specific to data engineering and asset management. We recommend using the STAR method to structure your answers—it's all about showcasing your skills!

✨Tip Number 4

Check out our website for job openings and apply directly through us. We’re always looking for talented individuals who can bring value to our team, so don’t miss out!

We think you need these skills to ace Data Engineer- Asset Management in Reading

Performance Analysis
Data Management
ETL Processes
SQL
Excel
Power BI
Statistical Techniques
Time-Series Analysis
Asset Management Principles
Reliability Engineering
Root-Cause Analysis
KPI Development
Data Quality Checks
Telemetry/SCADA
ISO 55000 Familiarity

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with data management, performance analysis, and any relevant tools like SQL or Power BI. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about asset management and how your background makes you a perfect fit for the role. Keep it concise but impactful—let us know why we should choose you!

Showcase Your Data Skills: Since this role is all about data, make sure to highlight your analytical skills and any projects where you've used data to drive decisions. We love seeing examples of how you've turned complex data into actionable insights!

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get the best experience possible. Plus, it shows you're keen on joining our team at StudySmarter!

How to prepare for a job interview at Project People

✨Know Your Data Inside Out

Make sure you’re well-versed in the data management and analytics aspects of the role. Brush up on your SQL skills and be ready to discuss how you've sourced, cleansed, and integrated data in past projects. Being able to talk about specific examples will show your expertise.

✨Understand Performance Metrics

Familiarise yourself with key performance indicators (KPIs) and key risk indicators (KRIs) relevant to asset management. Be prepared to explain how you’ve defined and tracked these metrics in previous roles, and how they’ve influenced decision-making processes.

✨Showcase Your Analytical Skills

Prepare to discuss your experience with statistical techniques and analytical tools. Whether it’s forecasting or reliability modelling, have examples ready that demonstrate how your analysis has led to actionable insights and improved outcomes.

✨Communicate Clearly and Confidently

Since this role involves translating complex data into clear insights for stakeholders, practice explaining your past projects in a straightforward manner. Use simple language to describe your methodologies and findings, ensuring you can convey your ideas effectively to both technical and non-technical audiences.

Data Engineer- Asset Management in Reading
Project People
Location: Reading

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