Data Engineer with Power Automate

London
1 week ago
Create job alert

Job Overview:

We are seeking a highly skilled and detail-oriented Data Engineer with expertise in Power Automate to join our growing team. The ideal candidate will have strong experience in designing, building, and optimizing data workflows, automation processes, and integrating systems using Power Automate. This role will involve working closely with cross-functional teams to support data operations, optimize data workflows, and automate business processes efficiently and effectively.

Key Responsibilities:

  • Design, develop, and implement automated workflows and processes using Power Automate to streamline data operations, integrate systems, and enhance data pipelines.

  • Collaborate with business stakeholders to identify automation opportunities and define data-driven solutions that increase efficiency and reduce manual work.

  • Build and maintain ETL pipelines for data extraction, transformation, and loading, using Power Automate and other related tools.

  • Develop, deploy, and manage automated reporting systems, data synchronization tasks, and scheduled data refresh operations.

  • Ensure data quality, accuracy, and integrity throughout the automation process, addressing any data-related issues that arise.

  • Work with cloud-based data platforms (e.g., Azure, AWS, etc.) to support the integration and automation of data flows.

  • Develop scripts, triggers, and other automation solutions to facilitate seamless data exchange between internal and external systems.

  • Optimize performance and troubleshoot any issues within existing Power Automate workflows, ensuring reliability and scalability.

  • Document and maintain detailed records of workflows, automation processes, and data-related solutions for team reference and compliance.

  • Stay updated with the latest trends, technologies, and best practices in automation and data engineering.

    Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent work experience).

  • Proven experience as a Data Engineer, Data Automation Specialist, or similar role, with a focus on Power Automate.

  • Strong hands-on experience with Power Automate, including designing and implementing workflows, automating processes, and system integrations.

  • Solid understanding of data integration, ETL processes, and data pipelines.

  • Proficiency in scripting languages (e.g., PowerShell, SQL, Python) and automation technologies.

  • Strong experience working with cloud platforms such as Microsoft Azure, AWS, or similar.

  • Experience in data warehousing, data modeling, and data architecture best practices.

  • Knowledge of Power BI and integrating Power Automate with BI platforms is a plus.



Excellent analytical, problem-solving, and troubleshooting skills.

* Strong communication skills with the ability to collaborate with business and technical teams effectively

Related Jobs

View all jobs

Data engineer with Power Automate

Data Architect - Contract

Data Engineer – Leading Energy Company – London

Data Engineer - Leading Energy Company - London

Data Engineer

Senior Data Engineer

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.

Machine Learning Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

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

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.