Data Engineer (FinTech)

G MASS is partnering with a global FinTech business to support the build-out of a next-generation data engineering capability within a large-scale enterprise data environment. This role sits within a highly technical engineering team focused on delivering AI-enabled, cloud-native data products used across the business.

You’ll join a collaborative engineering function responsible for designing and delivering robust, scalable data solutions. The work spans data ingestion, transformation, analytics and enablement, supporting both internal stakeholders and client-facing products.

Key responsibilities

• Design, develop and maintain scalable data pipelines for ingestion, transformation and storage
• Write efficient SQL queries to support data extraction, manipulation and analysis
• Use Apache Spark and Python to process large datasets and automate workflows
• Partner with data scientists, engineers and business stakeholders to translate requirements into data solutions
• Implement data quality checks and validation to ensure accuracy and reliability
• Analyse complex datasets to identify trends, patterns and anomalies
• Produce and maintain clear documentation covering data processes and architecture
• Support stakeholders with data visualisation and interpretation of outputs

• Strong experience in SQL for data manipulation and analysis
• Hands-on experience with Apache Spark (Java, SQL or PySpark) and Python
• Experience working with large, complex datasets in enterprise environments
• Exposure to cloud data platforms (AWS, Azure or GCP) and big data technologies
• Confident communicator, comfortable working across technical and non-technical teams
• Background or exposure to financial services or capital markets

Nice to have

• Experience using Java in data processing or integration contexts
• Knowledge of ETL processes and data warehousing concepts
• Experience with data visualisation tools (Power BI, Tableau, Qlik)
• Familiarity with data science notebooks (e.g. Jupyter, Zeppelin)
• Version control experience (Git, GitHub, Bitbucket, Azure DevOps)

Initial 6-month contract, with strong possibility of extension and/or permanency.

Salary to be discussed.