Data Engineering Specialist

Salary: £68,000 - 108,000 per year

Requirements:

• Data Engineering experience with Snowflake and Databricks native solutions.
• Experience with Snowflake Cortex is required.
• Proficiency in Python.
• Experience with data processing frameworks like Apache Spark or Hadoop.
• Knowledge of database systems, including SQL and NoSQL.
• Familiarity with cloud platforms such as AWS and Azure, and their data services.
• Understanding of data modeling and data architecture principles.
• Experience with data warehousing concepts and technologies.
• Experience with message queues and streaming platforms, such as Kafka.
• Experience with version control systems, such as Git.
• Experience using Jupyter notebooks for data exploration, analysis, and visualization.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a geographically distributed team.
• 8+ years of experience as a practitioner in data engineering or a related field is generally expected.

Responsibilities:

• Develop and maintain data pipelines and ETL processes.
• Work with structured and unstructured data to ensure it is accessible and usable.
• Optimize data systems for performance and scalability.
• Implement data quality and data governance standards.
• Collaborate with stakeholders across technology and business units to understand their data needs and translate them into technical solutions.
• Provide data-driven insights.
• Contribute to documentation and knowledge sharing within our team.
• Create and maintain technical documentation and training materials.
• Participate in code reviews and contribute to the improvement of development processes.
• Contribute to the broader data architecture community through knowledge sharing and presentations.

Technologies:

• AI
• AWS
• Azure
• Cloud
• Databricks
• ETL
• Git
• Hadoop
• Jupyter
• Kafka
• NoSQL
• Python
• SQL
• Security
• Snowflake
• Spark
• Support
• Machine Learning

More:

We are part of the Architecture & Modernization team and our Technology division, where we leverage innovation to build the connections and capabilities that power our firm. Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with our technology principles and drives efficiency, consistency, controls, security, strong governance, and innovation. This is a Data & Analytics Engineering role at Director level, and we are committed to diversity of thought, inclusion, and building a team that reflects our global community. We offer an environment where our people are supported and empowered, with attractive employee benefits and perks, flexible working opportunities, and the chance to grow across our business in more than 40 countries and 1,200 offices worldwide.

last updated 36 week of 2026