Power Platform and Integration Developer

Aberdeen
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Analyst

Data Engineer

Senior Data Engineer Big Data/ Hadoop/ Spark

Senior Data Engineer

Senior Data Engineer

Our client is currently recruiting for a Senior Network Engineer. Based in Aberdeen, the role will be on a 12 month contract.

ROLE

The Power Platform and Integration Developer reports to the Analytics and Integration Lead and forms key part of the Integration capacity within the team. Developing timely and precise Power Platform applications (Power Apps) along smart automation (Power Automate), the Power Platform and Integration Developer ensures that the Power Platform forms a central part of the integration journey of our business applications and data

RESPONSIBILITIES

Supporting Analytics and Integration Program: Collaborate with cross-functional teams to maintain and enhance our application footprint, and the modern data platform, leveraging your expertise in Power Platform, data integration and automation techniques.
Stay up to date with innovation: Understand best practice of data engineering and its application, and stay up-to-date with emerging technologies in the low-code application development and automation space
Analyse, Model and Organise Workflows: Work with a range of stakeholders and business users to understand their workflows and patterns, with a view to designing and delivering applications, integration and automation which delivers the highest value for money
Ensure quality and reliability: Drive improvements in application quality, understanding how users interact with applications and data, and ensure that downstream workflows are processed effectively, efficiently, robustly and timely. Implementing data validation, processing, management, and controls where necessary, to ensure applications and integrations are suitable. Maintaining Data Governance: Ensuring that data governance policies and procedures are followed, and that data lineage and cataloguing is maintained for data discoverability.
Maintaining Documentation: Ensuring that application support documentation, workflow documentation, automation documentation are accurate, timely and comprehensive for the wider team to be able to use and support
Bringing New Application and Automation Projects to Life: Take the lead in initiating, designing, and executing integration projects, ensuring their entire lifecycle is managed effectively through Dev, Test and Production
Performance Monitoring: Optimise and tune workflows, pipelines and applications to increase and improve performance and efficiency and being able to communicate the impact of poorly performing automation workflows and integrations
REQUIREMENTS:

Appropriate professional qualification or equivalent experience.
Exceptional problem-solving skills to tackle complex automation and integration challenges.
Familiarity with Power BI is desirable but not essential
Ability to establish, document and communicate Power Apps applications and Power Automate workflows with both peers and stakeholders
Experience working with Power Apps, Power Automate, Sharepoint and integration tools that will help to deliver the analytics and integration strategy
Experience working with APIs (REST, SOAP, OData) from a data integration perspective. 
Prior experience in the Oil & Gas industry is not required; however, a passion for working with automation and integration is a must

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.

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.

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.

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.