The Self-Service
Analytics Platform enables data-driven decision-making and advanced analytics
through intuitive tooling built on Cloud Data Hub assets. The platform supports
low-code, no-code, and high-code analytics solutions including dashboards, time-series
analysis, ML-based workflows, and advanced analytics applications.

The successful
candidate will be responsible for designing, developing, and supporting
scalable full stack and data-driven solutions while collaborating with global
teams in an Agile environment.

Responsibilities

• 
  Develop and maintain applications and
  processes on the analytics and data platform
• 
  Build scalable APIs, ETL pipelines,
  and data-driven applications
• 
  Develop solutions using Python, SQL,
  Spark, and AWS technologies
• 
  Collaborate with international teams
  on development and operations
• 
  Conduct system testing,
  implementation, and quality assurance activities
• 
  Review and propose system designs and
  technical solutions
• 
  Prepare technical and system
  documentation
• 
  Implement and maintain automated
  testing processes
• 
  Monitor system security findings and
  resolve vulnerabilities
• 
  Assist with AWS networking and
  infrastructure configuration
• 
  Support Agile delivery processes and
  participate in continuous improvement initiatives

Requirements

Essential
Skills & Experience

• 
  Proven experience in Data
  Intelligence and Business Intelligence
• 
  5+ years’ experience building Big
  Data Pipelines (ETL, SQL, Spark, PySpark)
• 
  Strong AWS development experience
• 
  CI/CD pipeline development using
  GitHub Actions and CodeBuild
• 
  Experience with API and ETL
  development
• 
  Frontend development exposure with
  tools such as Angular, React, or Figma
• 
  Knowledge of BI tools such as
  Tableau, Qlik, or PowerBI
• 
  Experience with AWS services
  including:
• 
  API Gateway
• 
  Lambda
• 
  DynamoDB
• 
  Glue
• 
  Athena
• 
  EMR
• 
  IAM
• 
  Fargate
• 
  AWS networking knowledge (VPCs,
  Subnets, Gateways, Routing, Direct Connect, Private Links)
• 
  AWS security knowledge including IAM,
  KMS, ACM, and Secret Manager
• 
  Strong Git branching and development
  practices
• 
  Test Driven Development, Unit
  Testing, Functional Testing, and Test Automation
• 
  Experience with Playwright or similar
  testing tools
• 
  Terraform and Infrastructure as Code
  deployments
• 
  Experience working with structured
  and unstructured databases
• 
  Linux scripting and environment
  management
• 
  Strong programming skills in Python
  (preferred), Java, and SQL
• 
  Experience with AWS S3 Storage,
  Iceberg Tables, and AWS Data Pipelines

Advantageous
Skills

• 
  Palantir Foundry experience
• 
  Docker and containerisation
• 
  Apache Kafka or other data streaming
  services
• 
  Jira, Confluence, and Agile
  methodologies
• 
  GitHub Copilot
• 
  Knowledge of clean coding standards
  and PEP8
• 
  Experience with monitoring, alerting,
  and security best practices
• 
  Understanding of Data Structures and
  Algorithms
• 
  Integration between multiple
  technologies and systems
• 
  ODBC and file sync experience
• 
  ITSM / PIC process knowledge
• 
  User support and ticket management
• 
  Exposure to frontend BI tools such as
  PowerBI, Tableau, and QlikView