At WTW, we are a leading global advisory, broking, and solutions company. We work with clients across a wide range of industries, helping them manage risk, optimise benefits, and improve performance. As a Fabric Data Engineer, you will play a key role in leveraging Microsoft Fabric, Azure, and Python to design and build advanced data solutions in the insurance domain.
Location: London, UK
Role: Hybrid Workstyle (Full-time)
Role Overview:
As a Fabric Data Engineer at WTW, you will take ownership of developing and optimising data pipelines, workflows, and ETL processes. You will work with cutting-edge technologies to ensure that data is efficiently processed, stored, and made accessible for analysis. This role is a key part of our data engineering team and requires specific expertise in Microsoft Fabric, Azure, and Python.
Key Responsibilities:
Fabric or Azure Data Engineer (Non-Negotiable):
- Lead the design and development of scalable data pipelines and ETL processes using Microsoft Fabric or Azure technologies.
- Manage and optimise notebooks, pipelines, and workflows to enhance the performance and efficiency of our data architecture.
Data Pipeline Development & ETL:
- Build and maintain high-quality ETL pipelines to clean, transform, and enrich data from various sources.
- Ensure that pipelines are automated, scalable, and fault-tolerant to accommodate large volumes of data.
- Experience with Notebooks, Pipelines, and Workflows:
- Utilise Notebooks (e.g., Jupyter, Databricks) for data exploration, analysis, and reporting.
- Design and optimise data workflows to streamline key processing tasks, enhancing operational efficiency.
- API Integration & Data Ingestion:
- Integrate external and internal APIs to ingest data into our systems, ensuring smooth and consistent data integration.
- Automate the API data ingestion processes to enhance data consistency and quality.
AI Experience (Project-based):
- Contribute to projects involving AI, including integrating generative AI or machine learning models within our data workflows.
- Apply AI technologies to improve data processing and provide deeper insights.
SDLC Awareness:
- Adhere to Software Development Life Cycle (SDLC) best practices, including version control, testing, and continuous integration.
- Collaborate with the team to ensure code quality, review processes, and deployment practices.
Collaboration & Communication:
- Work closely with cross-functional teams and business stakeholders to understand and meet data requirements.
- Effectively communicate complex technical solutions to both technical and non-technical teams, ensuring alignment with business goals.
Qualifications
Required Qualifications:
Experience:
- A minimum of 2 years of hands-on experience working as a Data Engineer or Fabric Data Engineer, with expertise in Microsoft Fabric, Azure, and Python.
- Proven experience in designing and implementing ETL pipelines, managing notebooks, and optimising data workflows.
- Solid experience working with API integration and data ingestion from various sources.
Technical Skills:
- Proficiency in Python for building data pipelines, automation, and data manipulation.
- Expertise in Azure cloud services and Microsoft Fabric.
- Knowledge of ETL processes, data modelling, and data integration techniques.
- Understanding of AI technologies and experience working on AI-driven projects (advantageous).
- Familiarity with Power Automate for automating business processes (optional).
Soft Skills:
- Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Excellent problem-solving abilities, with a focus on data quality and continuous improvement.
- Self-motivated and organised, with the ability to manage time effectively and prioritise tasks.
Preferred Qualifications:
Industry Experience:
- Experience in the insurance domain or a strong understanding of industry-specific data requirements would be highly beneficial.
- Experience with Reporting & Data Visualisation:
- While not mandatory, familiarity with reporting tools or data visualisation (e.g., Power BI) is advantageous.
Why Join WTW?
- Make an Impact: Work on high-profile data engineering projects that shape the future of the insurance sector.
- Innovation: Join a forward-thinking company that uses cutting-edge technologies, including AI, Azure, and Microsoft Fabric.
- Career Development: Take the next step in your career and gain exposure to exciting data engineering challenges.
- Global Reach: Collaborate with a diverse, global team on projects that span multiple industries.
