Overview

Senior Data Engineer role at WTW in Woodbridge, England, United Kingdom. This position focuses on designing, building, and optimizing data pipelines and data architectures within an Azure-based environment.

Responsibilities

• Designing, building, and optimizing data pipelines, data transformations, and data storage functions for data consumption using Azure Synapse, Azure Data Factory, and Azure Fabric.
• Writing and fine-tuning PySpark notebooks to handle large data workloads efficiently.
• Troubleshooting and enhancing ETL/ELT workflows in Azure Synapse.
• Managing and organizing Data Lakes to ensure seamless data access and performance.
• Integrating AI/LLM models into data pipelines to drive innovation and insights.
• Collaborating with Data Scientists, AI Engineers, and Analysts to create data-driven solutions.
• Ensuring data security, governance, and compliance within the Azure ecosystem.
• Staying ahead of emerging cloud, AI, and big data technologies.

Qualifications

• 5+ years of experience in data engineering, working with large-scale data platforms and cloud-based data architectures.
• Proven hands-on experience designing, building, and optimizing data pipelines in at least one major cloud platform (Azure, AWS, or Google Cloud Platform).
• Expertise in modern data engineering tools and frameworks, such as Databricks, Apache Spark/PySpark, Azure Synapse, AWS Glue, or Google Cloud Dataflow.
• Strong proficiency in SQL and one or more programming languages (Python, Scala, or Java).
• Experience with orchestration and workflow management tools (e.g., Airflow, Data Factory, Cloud Composer).
• Hands-on experience with data management within data lake architectures, data warehousing, and big data processing.
• Familiarity with the integration and deployment of AI/ML and LLM solutions into data pipelines is a plus.

Bonus Points If You Have

• Experience with real-time data streaming tools (e.g., Kafka, Kinesis, Pub/Sub).
• Knowledge of CI/CD practices for data engineering (e.g., DevOps pipelines, infrastructure as code).
• Background in insurance, risk, or financial services a plus.
• Familiarity with Databricks and its integration with Azure Synapse.
• Knowledge of Graph Databases and NoSQL technologies.

Why You’ll Love Working Here

• Work with the latest cloud and AI technologies, stay ahead of the game.
• Be part of a collaborative and forward-thinking team that values your ideas.
• Competitive salary, benefits, and opportunities for career growth.
• A flexible, modern work environment designed for how people work today.

We’re not just looking for someone to check off the skills list; we want a problem solver, an innovator, and someone who loves working with data. If this sounds like you, hit us up!

At WTW, we believe difference makes us stronger. We are an equal opportunity employer committed to fostering an inclusive work environment and embracing all types of diversity.

Seniority

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

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Location: Woodbridge, England, United Kingdom