Senior Data Engineer

Senior Data Engineer

• 202605363

• London, England, United Kingdom

• Full time

Description

Help shape WTW's global data engineering capability and build trusted data platforms that power better business decisions.

Everything we do within WTW Global Technology has a global focus at its heart. We aim to provide colleagues with consistent technology, experiences and operations wherever possible.

As a Senior Data Engineer , you will play a key role in the design, development and support of WTW's central data engineering capability. Working closely with Architecture, Information Security, business teams and technology stakeholders, you will help define engineering standards, create reusable frameworks and enable teams across WTW to develop secure, scalable and trusted data solutions. You'll combine strong hands-on engineering expertise with a passion for building shared capabilities that accelerate analytics, AI and data-driven decision making across the enterprise. This role offers the opportunity to work with modern data platforms including Microsoft Fabric, Databricks and Azure technologies while helping shape the future of WTW's data landscape.

Work Style: Enjoy a flexible hybrid working model, with occasional travel to our London office for collaboration, team meetings, and key business activities.

The Role

• Design, build and support reusable data engineering frameworks, shared services and reference implementations used across WTW.
• Develop and maintain production-grade data pipelines, data models and datasets using Microsoft Fabric, Databricks and Azure technologies.
• Create reusable ingestion, transformation and data quality patterns that enable consistent data delivery at scale.
• Partner with Architecture and Information Security teams to ensure data solutions are secure, governed and compliant by design.
• Support data governance initiatives including data cataloguing, lineage, classification and stewardship.
• Design and operate batch and streaming data integration solutions across enterprise data sources.
• Enable analytics, reporting and AI use cases by delivering trusted, high-quality data products.
• Implement DataOps best practices including testing, monitoring, version control and observability.
• Troubleshoot and resolve production data platform issues, performing root cause analysis and remediation.
• Create and maintain technical documentation, standards and engineering guidance.
• Mentor and support other engineers through design reviews, knowledge sharing and technical leadership.
• Evaluate emerging technologies and contribute recommendations to improve WTW's data engineering capabilities.

Qualifications

What you'll bring

• Proven experience in data engineering, software engineering or platform engineering, including hands-on delivery of production data solutions.
• Strong knowledge of modern data platforms, data modelling, ETL/ELT pipelines and engineering best practices.
• Hands-on experience with Microsoft Fabric, Databricks, Azure Data Factory, Azure Synapse or similar cloud data platforms.
• Strong SQL skills and experience with Python, PySpark, Scala or similar programming languages.
• Experience designing and supporting scalable data platforms and distributed data processing solutions.
• Knowledge of lakehouse architectures, Delta Lake, Apache Spark and modern data modelling techniques.
• Experience with batch and streaming data ingestion patterns.
• Understanding of data governance, security, identity management and regulatory compliance requirements.
• Experience with CI/CD, infrastructure as code, automation and DevOps practices.
• Strong problem-solving, stakeholder management and communication skills.
• Ability to mentor engineers and provide technical leadership across projects and initiatives.

Nice to Have

• Experience within financial services, insurance, consulting or other regulated industries.
• Experience supporting enterprise-scale data modernisation or transformation programmes.
• Familiarity with tools such as dbt, Apache Airflow, Great Expectations or similar frameworks.
• Microsoft Fabric, Azure or Databricks certifications.
• Experience supporting analytics, machine learning or AI-enabled solutions.

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 [email protected]