At a Glance
- Tasks: Build and maintain analytics solutions in a dynamic telecom environment.
- Company: ZAIO Limited, a leader in data-driven telecom innovations.
- Benefits: Hybrid work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Fast-paced environment with strong career advancement potential.
- Why this job: Join a cutting-edge team and make an impact in telecommunications analytics.
- Qualifications: Experience with Python, SQL, and cloud analytics platforms required.
The predicted salary is between 60000 - 80000 £ per year.
At ZAIO Limited, we empower the future of telecommunications through data-driven innovations and agile software solutions. As a global IT and telecom solutions provider, we seamlessly integrate complex network infrastructure with high-performance digital operations. With decades of industry expertise, we support operators and enterprises throughout the entire network lifecycle by providing strategic consulting, advanced diagnostics, and tailored software tools.
Role Purpose
We are looking for a hands‑on Data & Analytics Lead to support the development and delivery of analytics and data engineering solutions within a telecommunications environment. This role is suited to an experienced technical specialist who is comfortable working independently, building practical solutions, and supporting analytics delivery across operational and customer‑focused use cases. The successful candidate will have strong experience with cloud analytics platforms, Python development, SQL, and large‑scale data processing, with a proactive mindset and willingness to take ownership of delivery.
Key Responsibilities
- Build and maintain analytics datasets, pipelines, and reporting solutions.
- Develop scalable ETL/ELT processes using cloud-native technologies.
- Support analysis of large datasets to generate operational and business insight.
- Work with structured and semi‑structured data from multiple sources.
- Develop automated reporting and monitoring solutions.
GCP Platform Development
- Work within the Google Cloud ecosystem, including BigQuery, Cloud Storage, Vertex AI, Cloud Functions, and Dataflow.
- Support optimisation and maintenance of cloud‑based analytics environments.
- Contribute to scalable and efficient data architecture design.
Cost & Performance Optimisation
- Help optimise BigQuery queries and cloud platform costs.
- Improve performance of data pipelines and analytics processes.
- Support implementation of efficient data processing approaches for large datasets.
Solution Delivery
- Translate business requirements into practical analytics solutions.
- Support rapid prototyping and development of analytics MVPs.
- Work closely with stakeholders across operational and technical teams.
- Produce clear documentation and maintain reusable code frameworks.
Telecommunications Analytics
- Support analytics use cases related to telecom networks, customer experience, and operational performance.
- Work with network KPIs, usage data, service quality metrics, and customer datasets.
- Assist in identifying trends, issues, and improvement opportunities from large-scale telecom data.
Required Skills & Experience
Technical Skills
- Strong experience with Python, SQL, BigQuery, and cloud-based analytics and data engineering.
- Good understanding of data pipelines, data modelling, query optimisation, and data transformation frameworks.
- Experience with data visualisation tools such as Tableau or Looker.
- Experience handling large datasets and automated workflows.
Experience
- Experience in data analytics, analytics engineering, or data engineering roles.
- Experience building solutions independently with limited supervision.
- Experience working in cloud analytics environments.
- Telecommunications or network analytics experience preferred.
Personal Attributes
- Self-motivated and proactive.
- Strong problem‑solving mindset.
- Comfortable working in fast‑paced environments.
- Able to independently manage and deliver technical tasks.
- Good communication and collaboration skills.
- Experience with AI/ML workflows.
- Exposure to customer experience or network analytics.
- Experience with operational analytics or monitoring solutions.
- Familiarity with Agile delivery environments.
Senior Data & Analytics Engineer — Hybrid/Remote in Reading employer: ZAIO Limited
At ZAIO Limited, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. As a Senior Data & Analytics Engineer, you will benefit from flexible hybrid working arrangements, competitive remuneration, and opportunities for professional growth within the rapidly evolving telecommunications sector. Our commitment to employee development and a supportive environment ensures that you can thrive while contributing to cutting-edge data-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & Analytics Engineer — Hybrid/Remote in Reading
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at ZAIO Limited. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with Python, SQL, and cloud analytics. Share specific examples of how you've tackled data challenges in the past—this will show them you're the real deal!
✨Tailor Your Approach
Before any interview, do your homework on ZAIO Limited and their projects. Tailor your answers to reflect how your skills can directly benefit their analytics and data engineering needs. This shows you're genuinely interested and not just going through the motions.
✨Apply Through Our Website
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're keen on joining the team at ZAIO Limited and ready to dive into the world of telecommunications.
We think you need these skills to ace Senior Data & Analytics Engineer — Hybrid/Remote in Reading
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with Python, SQL, and cloud analytics platforms like BigQuery. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and analytics in telecommunications. Share specific examples of your past work that align with the role, and let us know why you want to join StudySmarter.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with data pipelines, ETL processes, or any analytics solutions you've developed. This gives us a glimpse into your hands-on experience.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at ZAIO Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and cloud analytics skills. Be ready to discuss specific projects where you've built data pipelines or worked with BigQuery. The more detailed examples you can provide, the better!
✨Understand the Telecom Landscape
Familiarise yourself with telecommunications analytics and key performance indicators (KPIs). Knowing how to translate business requirements into practical solutions in this sector will show that you're not just technically savvy but also industry-aware.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles and how you overcame them. Highlight your proactive mindset and ability to work independently, as these traits are crucial for the role at ZAIO Limited.
✨Communicate Clearly and Collaboratively
Practice explaining complex technical concepts in simple terms. Since you'll be working closely with various stakeholders, demonstrating good communication and collaboration skills will set you apart from other candidates.
