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WTW

Data Engineer

London
Posted about 23 hours ago
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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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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.
  • Experience with Copilot agents, AI tools, Power Automate, and the broader Microsoft Power Platform is highly preferable.

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

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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 throughout your journey.
  • Join a collaborative, forward-thinking team that values innovation and your unique contributions.
  • Enjoy a competitive salary, comprehensive benefits, and abundant opportunities for career advancement.
  • Benefit from a flexible, modern work environment designed for today’s professionals.

We’re seeking not just a checklist of skills, but a true problem solver, innovator, and someone who is passionate about hands-on data engineering with Microsoft Fabric, Copilot, and AI tools. If this describes it to you, apply now!

What We Offer

Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company.

We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you.

Equal Opportunity Employer

We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidatehelpdesk@wtwco.com.

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Skills

Data Engineering
Microsoft Fabric
Python
Data Warehousing
ETL
ELT
Data Lakes
AI Tools
Power Automate
APIs
Problem Solving
Collaboration
Data Modeling
Debugging
Cloud Data Tools
Automation

Location

London, England, United Kingdom

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