Power Platform Technical Lead

Dublin
10 months ago
Applications closed

Related Jobs

View all jobs

D365 CE Data Architect

Data Architect

Business Intelligence and Database Lead

Data Engineer

Data Engineer (Azure Data Platform)

Senor / Lead Data Engineer

Power Platform Technical Lead
Location: Dublin - Hybrid | Type: Permanent

Are you passionate about building transformative business solutions? As a Power Platform Technical Lead, you’ll drive the design and delivery of scalable, efficient solutions using Power Apps, Power Automate, Power BI, and Copilot Studio. This is a hands-on leadership role where you’ll collaborate with clients in the public and private sector to modernize their operations and empower their teams through automation and data-driven insights.

Responsibilities

Lead the development of Power Platform solutions, from business analysis to deployment.

Build custom apps, workflows, and dashboards using Power Apps, Power Automate, Power BI, and Copilot Studio.

Integrate solutions with other systems and data sources for seamless performance.

Ensure quality through testing, documentation, and post-deployment support.

Mentor team members, share best practices, and support ongoing innovation.

About You

10 years of experience delivering end-to-end Power Platform solutions.

Advanced skills in Power Apps, Power Automate, Power BI, and Copilot Studio.

Strong knowledge of system integration, data modeling, and connectors.

Collaborative mindset with excellent problem-solving abilities. Microsoft Power Platform certifications are a plus

Proven experience of leading teams of 4 or more.

Apply now to lead exciting digital transformation projects and help businesses thrive through Power Platform innovation

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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.