Senior Data Platform Engineer

  • Ireland
  • EUR 60.0 Hourly
  • Contract
  • Discipline: Data
  • Ref: 50378

Role Overview

We are looking for a Senior Data Platform Engineer to join a delivery team supporting equity research technology within an asset management environment. The role focuses on owning and evolving a financial data reporting and visualization platform used by senior analysts, portfolio managers, and business leaders. You will take responsibility for an established, script-based system, ensuring reliability while gradually modernizing its engineering standards and tooling.

Key Responsibilities

  • Design, develop, and maintain a data analysis and visualization reporting platform for equity research teams
  • Write and maintain Linux-based scripts to parse, store, manipulate, and visualize financial data
  • Take ownership of a complex legacy codebase, ensuring accuracy, stability, and continuity of outputs
  • Work closely with business stakeholders to understand reporting and visualization requirements
  • Incrementally modernize the platform, improving CI/CD, deployment workflows, monitoring, and code quality
  • Learn and assume ownership of existing reporting solutions without disrupting trusted outputs
  • Work independently under general direction while collaborating within a delivery team

Required Skills & Experience

  • 7+ years of experience in software development or data engineering
  • Strong Linux proficiency, including networking, processes, filesystem, cron, and systemctl
  • Strong shell scripting experience (bash, ksh, zsh)
  • Professional experience with Perl, Python, or similar scripting languages in production
  • Solid understanding of data analysis, statistical concepts, and data tooling
  • Strong SQL skills, including relational schema design and performance optimization
  • Experience with data visualization and charting tools
  • Familiarity with Git, CI/CD pipelines, and automated deployment workflows

Preferred Skills

  • Experience modernizing legacy scripting or reporting platforms
  • Knowledge of data pipelines, APIs, ETL schedulers, or workflow orchestration tools
  • Exposure to cloud environments (AWS, GCP, Azure)
  • Python for automation, machine learning, or API development
  • Experience building shared libraries or reusable engineering tooling
If you’re interested in this role and feel your experience aligns, please apply to start the conversation.

Apply for this job

We are an inclusive organisation and actively promote equality of opportunity for all with the right mix of talent, skills, and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.