Skills

Python Java Tableau SQL Big Data Data Warehousing Data Engineering Apache Spark GitHub DevOps Version Control Azure DevOps Architecture apache git power bi Azure AWS Analytics GCP Data Science Spark PySpark ETL Processes

Job Specifications

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

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)
Version control experience (Git, GitHub, Bitbucket, Azure DevOps)

Benefits

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

Salary to be discussed.

About the Company

G MASS is part of the Goodman Masson group. Our approach is simple; combine the best skills-mapping technology in the market with award-winning employee engagement to produce for our clients the best-fit consulting solutions. We are a modern-day consulting business built around solving modern-day client problems. Our combination of data-led solutions, decades-long track record of delivery, and collaborative design approach serves as a new & exciting proposition in the resource augmentation market. It is time to rethink cons... Know more