Power Apps Developer

London
1 week ago
Create job alert

PowerApps Developer

Length: 6 months

Location: Hybrid - 3 days on site in Marble Arch

Salary: £69,000 per annum

We are actively looking to secure a PowerApps Developer to join Experis as one of our expert consultants, delivering services to our clients.

Experis Consultancy is a Global entity with a well-established team with over 1000 consultants on -assignment across 20 clients globally. Our UK operation is growing and has very aggressive plans for expansion over the coming years. We form part of the Manpower group of companies that turn over $20 billion a year collectively.

Experis UK have partnerships with major clients across the UK spanning multiple industries; our approach is a very personal one, with both our clients and our own employees. We are passionate about training, technology and career development.

Job purpose

With a real passion for using data to enable colleagues to make better data driven decisions, you create robust, yet flexible applications to help colleagues operate a more effective and customer focused business. You investigate business problems and providing targeted tooling to support the culture change required to become a data driven organisation.

Key accountabilities, responsibilities, and measures

Understands reports user requirements and can provide solutions that add value and meet business needs
Understands C&H systems and data sources and can link these to provide accurate and timely reporting
Asks stakeholders analytical question and uses excellent problem-solving skills to present potential options and solutions
Helps decision-makers, by presenting data in an accessible, informative way.
Understands the key business drivers for the business and how they relate to the overarching business strategy
Good understanding of business functions and the financial and operational process drivers of the business to inform risks, opportunities and priorities
Collects, organises and manipulates large amounts of data using databases and other technologies.
Presents and re-structure data tailored to required output ensuring that all reporting meets user requirements and look for ways to continually improve accuracy and usability
Works with large datasets using frameworks such as Azure Data Lake Services, Databricks and Azure Synapse. Understands how to access and join data from different databases.
Manage business incidents, driving data quality and source system issues to successful conclusions and maintaining the ongoing quality of analytical assets
Builds data models and uses insight to make recommendations
Participates in the effective prioritisation and management of team workload and backlog, as well as proactively identifying new opportunities.Key skills

Can tell a story through data
Thinks creatively about problems and can support decision makers' business-related questions using available data
Reviews, refines and validates user requirements in detail, to design the scope needed to land effective data led change
Great stakeholder management and user engagement to build an audience and drive adoption.
Excellent problem solver
Good understanding of business functions and the financial and operational process drivers of the business
Experience using visualisation tools e.g. Power BI, Spotfire, Tableau
Experience querying data query using SQL or Python
Excellent ability to trans

Related Jobs

View all jobs

Data Architect

BI Developer

M365 Administrator

Power Platform Consultant (Contract)

CRM Specialist

Data Warehouse Architect | Philippines

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.