Data Engineer

• Modify and enhance existing data pipelines, analytical tools, and data assets for deployment on a new cloud analytics platform.
• Adapt internal data products to operate effectively within external client sandbox environments.
• Develop, optimise, and maintain data processing solutions using Python and SQL.
• Work with large-scale datasets within Google Cloud and BigQuery environments.
• Collaborate with data, engineering, and platform teams to ensure data assets are fit for purpose.
• Contribute to testing, validation, and ongoing improvement of analytics solutions.

• Strong proficiency with Python, including hands-on experience using Pandas.
• Experience working with SQL and cloud-based data warehousing technologies.
• Knowledge of Google BigQuery would be highly beneficial.
• Exposure to PySpark and distributed data processing environments.
• Ability to analyse, transform, and optimise complex datasets.
• Strong problem-solving and stakeholder communication skills., * finance
• python
• engineer
• gcp
• Pandas
• finanical services
• pyspark
• Bigquery
• SQL

They are a well-established data and analytics organisation that helps businesses make better decisions through trusted data, advanced technology, and cloud-based solutions. As part of a significant platform modernisation initiative, they are expanding their analytics capability and investing in innovative cloud technologies. This role offers the chance to work on large-scale data assets within a highly collaborative environment.