Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Peaple Talent | Power BI Developer

Peaple Talent
9 months ago
Applications closed

Related Jobs

View all jobs

Manager, Data Architect - Fabric, Data & Analytics, Belfast,Derry/Londonderry

Manager, Data Architect - Fabric, Data & Analytics, Belfast,Derry/Londonderry

Manager, Data Architect - Fabric, Data & Analytics, Belfast,Derry/Londonderry

Python Data Engineer

GenAI Data Engineer

Python, Data Engineer

Job Title:Power BI Developer


Scroll down for a complete overview of what this job will require Are you the right candidate for this opportunity

Location:UK, Remote

Salary:£45,000-£54,000

Peaple Talent are currently working alongside a world-class research and development business in Bristol that are expanding and looking for a PowerBI Developer to join the team.

The Role:

  • Gather reporting needs, document requirements, and deliver reports
  • Improve Power BI reports and optimise their performance
  • Maintain the reporting data warehouse using Azure tools
  • Manage SQL databases and ensure data accuracy.
  • Administer Power BI access with IT support.

Qualifications/Experience

  • Expertise in the full reporting lifecycle, from gathering requirements to delivery.
  • Experience with D365 FO as a data source for reports.
  • Advanced SQL skills, including stored procedures, views, CTEs, and performance tuning.
  • Strong knowledge of data architecture, governance, best practices, and ETL concepts.

Power BI Skills

  • Dashboard creation and data modeling.
  • Proficient in DAX, M query, and Power Query.
  • Knowledge of incremental data loading.
  • Experience with administration, security, and source control.
  • Disaster recovery and impact analysis expertise.

The Package

Base salary: up to £45,000-£54,000

  • Pension contribution up to 12.5%
  • 25 days holiday
  • Private medical insurance

Interested? If you think you're right for this role, then click the 'Apply Now' button and send us your CV.

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.