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Data Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Willis Towers Watson
Full Time position
Listed on 2026-07-24
Job specializations:
  • Software Development
    Data Engineering, Azure, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 60000 - 90000 GBP Yearly GBP 60000.00 90000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Description

Are you passionate about solving complex data challenges and building innovative data solutions, especially with cutting‑edge tools like Microsoft Fabric, Azure, Google, AWS? Do you thrive on logical problem‑solving and are energized by using technology to drive impactful results? If you have hands‑on experience as a Data Engineer and are eager to work with Copilot agents and AI tools, we want to hear from you.

We’re searching for a Data Engineer with practical expertise in designing, optimizing, and maintaining data pipelines and storage within Microsoft Fabric, Azure Synapse, Azure Data Factory, and Azure Fabric. Experience with Azure, Google, or AWS data tools is valuable, but a willingness to learn and a hunger for growth are just as important. If you enjoy a fast‑paced, collaborative environment where your contributions directly impact business outcomes this role could be your next career leap.

The Role:

  • Designing, building, and optimizing data pipelines using Microsoft Fabric, Azure Synapse, Azure Data Factory, and Azure Fabric.
  • Developing and fine‑tuning PySpark notebooks to efficiently manage large-scale data workloads.
  • Implementing, troubleshooting, and enhancing ETL/ELT workflows in Azure Synapse and Microsoft Fabric.
  • Managing and organizing Data Lakes for seamless data access and high performance.
  • Integrating AI/LLM models, Copilot agents, Power Automate flows, and wider Power Platform solutions into data pipelines and business processes to boost innovation and deliver actionable insights.
  • Supporting the testing and validation of AI‑enabled solutions, including Copilot agents and AI/LLM outputs, by checking results, documenting issues, and escalating risks where needed.
  • Building and supporting automation workflows using Power Automate, Power Apps, and related Power Platform capabilities to streamline operational processes and improve data capture.
  • Collaborating with Business team, Data Experts, AI Engineers, Data Analysts, and business domain experts to create powerful, data‑driven solutions.
  • Participating in and supporting data security, governance, and compliance initiatives within the Azure and Microsoft Fabric ecosystem.
  • Gathering, integrating, and transforming data from multiple sources, including REST APIs and other application interfaces, while handling large data volumes reliably.
  • Continuing to build knowledge of cloud platforms, AI, and modern data engineering practices through hands‑on work, mentoring, and self‑learning.
Qualifications

What you’ll bring

  • Solid hands‑on Data Engineering experience, with proven competency in Cloud Data Tools – especially Microsoft Fabric.
  • Strong programming skills in Python.
  • Solid understanding of data warehousing, modeling, and basic data architecture, either through experience or education.
  • Exceptional problem‑solving abilities and expertise in debugging complex data issues.
  • Genuine excitement for working with data and driving meaningful business outcomes.
  • Curiosity and passion for understanding how systems are built and operate.
  • Excellent communication skills and a collaborative, team‑oriented mindset.
  • Hands‑on experience working with APIs, including consuming REST endpoints, handling authentication, parsing JSON responses, and integrating API data into data pipelines.

Bonus Points If You Have

  • A relevant certification, learning path, or hands‑on project in Microsoft Fabric, Azure Data Engineering, Power BI, Power Automate, Python, or SQL.
  • Experience designing or consuming APIs to support system integration, automation, and data ingestion use cases.
  • Experience with real‑time streaming solutions like Azure Stream Analytics, Kafka, or Event Hubs.
  • Familiarity with Databricks and its integration with Azure Synapse and Microsoft Fabric.
  • Knowledge of Graph Databases and No

    SQL technologies.
  • Understanding of AI/LLM applications and their integration with data pipelines, Copilot agent workflows, Power Automate flows, and Power Platform‑based automation.

Why You’ll Love Working Here

  • Build hands‑on experience with Microsoft Fabric, Azure, Power BI reporting, Power Automate, and AI‑enabled data solutions.
  • Receive mentoring and coaching from experienced team members…
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