Data Engineer (FinTech)

G MASS
Charing Cross, United Kingdom
26 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Charing Cross, United Kingdom

Tech stack

Java
Amazon Web Services (AWS)
Azure
Big Data
ETL
Data Mining
Data Systems
Data Visualization
Data Warehousing
Github
Python
Power BI
SQL Databases
Tableau
Data Processing
Data Ingestion
Spark
Jupyter
GIT
PySpark
QlikView
Bitbucket
Data Management
Software Version Control
Data Pipelines

Job description

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., * 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

Do you have experience in Tableau?, Do you have a Bachelor's degree?, * 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 & conditions

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

Salary to be discussed.     If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.

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