Security Services Data Modelling and Engineering - Analyst (DADA04)

Job Responsibilities

• Design, build, and optimize data pipelines and transformation workflows on Databricks using Python and Spark.
• Collaborate with Data Architects and Business Analysts to develop robust data models aligned to business needs.
• Document data flows, extract-transform-load logic, and transformation rules to a high standard.
• Implement data quality checks and validation modules using Python.
• Execute testing and validation processes to support accurate and reliable datasets.
• Track work and progress in Jira to maintain transparency and accountability.
• Register datasets and pipelines in relevant catalogues and consoles in line with governance and privacy standards.

Required qualifications, skills, and capabilities

• Proven experience developing data pipelines and solutions on Databricks.
• Proficiency in Python for data transformation, including libraries such as pandas.
• Understanding of extract-transform-load concepts, data modelling, and pipeline design.
• Experience using Spark.
• Experience with cloud data platforms.
• Ability to document data flows and transformation logic clearly and consistently.
• Experience using Jira for project tracking.
• Ability to collaborate effectively with Data Architects and Business Analysts.
• Strong communication skills.

Preferred qualifications, skills, and capabilities

• Experience in financial services or large enterprise data environments.
• Knowledge of data governance, privacy, and compliance requirements.
• Exposure to business analysis and requirements gathering.

Company