More jobs:
Data Engineer; FinTech
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-02-08
Listing for:
G MASS Consulting
Contract
position Listed on 2026-02-08
Job specializations:
-
IT/Tech
Data Engineer, Data Science Manager, Data Analyst, Big Data
Job Description & How to Apply Below
Location: Greater London
G MASS is partnering with a global Fin Tech 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
Requirements
- 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)
Initial 6-month contract, with strong possibility of extension and/or permanency.
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