Data and BI Engineer in London

Data and BI Engineer in London

London Full-Time 45000 - 55000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Build scalable data pipelines and deliver insights through Power BI.
  • Company: Join Sabio, a leading UK Contact Centre solution supplier with a collaborative culture.
  • Benefits: Enjoy remote work, 28 days holiday, private health care, and continuous learning opportunities.
  • Other info: Dynamic environment with excellent career growth and support for your professional development.
  • Why this job: Make a real impact on business decisions while working with cutting-edge data technologies.
  • Qualifications: Experience in data engineering or BI development, strong SQL and Power BI skills required.

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

Sabio is a global company and the leading independent UK Contact Centre solution supplier. We work with leading brands and partners across the globe, helping them to build high quality, secure, robust platforms and solutions. Sabio provides expertise and solutions that our customers need to respond to the ever-changing world. Our focus is on creating state-of-the-art real-time communications platforms and contact centre system integration. At our core, we are problem-solvers with a strong engineering mindset and a ‘can-do’ attitude.

We are currently looking for a passionate and enthusiastic Data & BI Engineer (Mid-Level) reporting into our Global Data Integration and Systems Manager. This role combines data engineering and business intelligence development, with responsibility for building scalable data pipelines, integrating enterprise systems such as ServiceNow and Salesforce, and delivering high-quality reporting and insights through Power BI. The successful candidate will play a key role in shaping Sabio’s data landscape, ensuring data is reliable, accessible and optimised for business decision-making.

Key Responsibilities

  • Data Engineering
    • Design, build, and maintain scalable data pipelines across multiple systems
    • Develop and manage ETL/ELT processes to ensure high-quality, reliable data
    • Integrate data from enterprise platforms including ServiceNow, Salesforce and other systems
    • Implement and support modern data platforms, including Microsoft Fabric
    • Apply medallion architecture principles (Bronze, Silver, Gold layers) to structure and optimise data flows
    • Ensure data governance, security and performance standards are met
  • Business Intelligence & Reporting
    • Design, develop, and maintain Power BI dashboards and reports
    • Build and maintain semantic models, measures and calculated logic (DAX)
    • Translate business requirements into scalable data models and visualisations
    • Optimise report performance, usability and consistency
    • Deliver actionable insights to support business decision-making
  • Data Management & Quality
    • Ensure accuracy, completeness and integrity of data across systems
    • Manage data pipelines and support data quality frameworks
    • Identify and resolve data issues, inconsistencies and gaps
    • Continuously improve data processes and reporting workflows
  • Stakeholder Engagement
    • Work closely with business stakeholders to gather reporting requirements
    • Collaborate with cross-functional teams across technology and operations
    • Present insights clearly to both technical and non-technical audiences
    • Support adoption and effective use of dashboards and reporting tools

Skills Knowledge and Expertise

  • Essential
    • Experience in data engineering and/or BI development roles (3–6 years typical)
    • Strong experience with Power BI (dashboard development, DAX, modelling)
    • Strong SQL skills for querying and transforming data
    • Experience integrating Salesforce data
    • Experience working with ServiceNow data or APIs
    • Experience designing and managing ETL/ELT pipelines
    • Solid understanding of data modelling (star schema, dimensional modelling)
    • Strong analytical and problem-solving skills
    • Excellent communication skills with stakeholders
  • Desirable
    • Experience with Microsoft Fabric
    • Understanding of medallion architecture (Bronze, Silver, Gold layers)
    • Experience with cloud platforms (Azure preferred)
    • Experience working with APIs and automation
    • Exposure to Certinia / financial or resource management data
    • Background in telecoms, services or consulting environments

Personal Attributes

  • Highly detail-oriented with strong focus on data accuracy
  • Proactive, self-driven and solution-focused
  • Strong collaboration and stakeholder engagement skills
  • Comfortable working in a fast-paced, evolving environment

When joining Sabio, you become part of a high-performing, collaborative team that values innovation, ownership and continuous improvement. This role offers the opportunity to work at the heart of Sabio’s evolving data landscape, combining modern data engineering practices with impactful business intelligence delivery.

Work on modern data platforms – gain hands-on experience with technologies such as Microsoft Fabric, enterprise integrations (ServiceNow, Salesforce), and scalable data architectures. Make a real business impact – your work will directly influence decision-making across operations, finance and customer-facing teams. Innovate and experiment – we encourage curiosity, new ideas and continuous improvement in how we build and manage data solutions. Collaborate with experts – work alongside skilled professionals across data, technology and consulting teams globally. Develop your career – expand your skills across both data engineering and BI, with exposure to enterprise-level systems and architecture. Be recognised and supported – we challenge and support our people, ensuring your contributions are valued and your growth is prioritised.

Benefits

This is your chance to join a friendly and passionate team that will motivate you to learn and develop your career in the company. Benefits may include:

  • Pension Scheme
  • Remote/Flexible work
  • Life insurance
  • Private health and dental care
  • Cycle to work
  • 28 days paid holiday a year (this includes three Sabio days)
  • LinkedIn Learning
  • Plus many more! (Benefits are dependent on your base location.)

Data and BI Engineer in London employer: Sabio Group

At Sabio Group, we pride ourselves on being an exceptional employer that champions a vibrant and inclusive work culture, where creativity and continuous learning are at the forefront. As a WFM Consultant, you'll not only have the opportunity to work with leading organisations but also benefit from a supportive environment that encourages professional growth through various training initiatives and flexible working arrangements. Join us in shaping the future of customer experience while enjoying a comprehensive benefits package that includes private health care, generous holiday allowances, and access to LinkedIn Learning.

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Contact Details:

Sabio Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data and BI Engineer in London

✨Get Involved in Data Science Meetups

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sabio Group.

✨Apply Directly through Our Website

When you find a suitable opening like Data and BI Engineer at Sabio Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data and BI Engineer in London

Data Engineering
Business Intelligence Development
Power BI
DAX
SQL
ETL/ELT Processes
Data Modelling

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Sabio Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sabio Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Sabio Group

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Sabio Group!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.