Senior Power BI Developer

Advanced Resource Managers Ltd
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Power BI Data Analyst

Data Analyst - Power BI Specialist

Data Analyst - Power BI Specialist

Senior Data Analyst

Senior Data Engineer

Senior Data Engineer

Senior Power BI Developer

Full Time

Permanent

Hybrid (1-2 days per week in London or Portsmouth offices)

£50 - 65K basic + benefits

Reporting to:Head of Data and Analytics

Are you an experienced Senior Power BI Developer looking for a new challenge?

Do you have a background in Power BI development and reporting over the last 5yrs, along with SQL, DAX + Power Query experience and ETL/ELT tools including SSIS or Azure Data Factory in an MSP environment?

Here at ARM we are recruiting for a full time permanent Senior Power BI Developer for a global IT services and consultancy client of ours.

Our client:They're a leading business with a global reach that empowers local teams, and they undertake hugely exciting work that is genuinely changing the world. Their advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.

Responsible for:Designing, developing, and optimising Power BI dashboards and reports to provide business insights. Working closely with stakeholders to understand data needs, integrate data sources, and build robust BI solutions that support decision-making.

Scope:The focus of this role is to work with key business stakeholders within IT, and across the business to implement Power BI solutions and a CoE (Community of Excellence). This role will initially be focused on the processes within Finance, Lead to Cash and Hire to Retire.

Responsibilities:

  • Design, develop, and maintain interactive Power BI reports and dashboards.
  • Implement DAX (Data Analysis Expressions) for complex calculations and measures.
  • Create visually appealing, user-friendly data visualizations for business users.
  • Develop data models in Power BI using Power Query (M language).
  • Optimise data transformations, relationships, and performance tuning.
  • Connect Power BI with Azure Synapse, and APIs.
  • Write advanced SQL queries for data extraction, transformation, and aggregation.
  • Work with Stored Procedures, Views, and Query Optimisation.
  • Optimize Power BI report performance (reducing load times, improving DAX efficiency).
  • Ensure data governance, compliance, and security best practices are followed.
  • Work closely with business analysts, data engineers, and stakeholders to define reporting needs.
  • Present insights and recommendations based on Power BI dashboards.
  • Provide Power BI training and best practices to business users and junior developers.
  • Work with Power Automate and Power Apps for process automation.

Qualifications:

Essential-

  • Bachelor's Degree in Computer Science, Data Science, Information Systems, or a related field.
  • 5yrs+ of experience in Power BI development and BI reporting.
  • Practical experience of leading the set up a Centre/Community of Excellence and promoting localized self-serve reporting with Power BI.
  • Strong expertise in DAX, Power Query, and SQL.
  • Experience with ETL/ELT tools, Synapse Analytics, Azure Data Factory or SSIS.
  • Experience in building complex dashboards and performance tuning.
  • Good understanding of data modelling, governance, and security.
  • Microsoft Certified: Power BI Data Analyst Associate (PL-300).
  • Microsoft Certified: Azure Data Fundamentals (DP-900).
  • Strong problem-solving skills with attention to detail and the ability to troubleshoot complex data issues.
  • Excellent communication and collaboration skills, able to work across teams to deliver solutions that meet business needs.

Desirable:

  • Experience of working within an international IT Managed Services company.
  • Microsoft Certified: Azure Data Engineer Associate (DP-203).

Some of the benefits include:

  • Healthcare and dental insurance.
  • Company pension is matched up to 5%.
  • 25 days annual leave entitlement plus bank holidays and the option to purchase 5 extra days.
  • Life assurance - 4 x annual salary.
  • Cycle to work scheme.
  • Client prioritises internal development opportunities and offer access to our Udemy training platform with over 5000 training courses.

#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.

Careers

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.

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.

🍪 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.