Senior Data Engineer

Exclusive opportunity

Onsite

Senior Data Engineer

PlayStation

Senior Data Engineer

Skills

Data EngineeringSnowflakeGitData AnalysisMachine LearningAIAWSdbtSAP ERPServiceNowFinancial PlanningSupply Chain

5 days ago

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Important information

Contract type:

Permanent

Salary:

€87,800 – €131,800 / year

Location:

Ireland

Work mode:

Onsite

Published on:

18 October 2026

What they need

Design, build, test and maintain robust batch and near-real-time data pipelines and ETL/ELT workflows across enterprise systems, APIs, SaaS platforms and cloud data environments
Develop reusable, well-documented data models and domain-aligned data products, translating complex business logic into reliable engineering solutions
Lead technical design for assigned initiatives, evaluate trade-offs, and ensure solutions are scalable, secure, maintainable and cost-effective.
Own solutions throughout the engineering lifecycle, from requirements and design through deployment, monitoring, incident resolution and continuous improvement
Implement automated testing, data validation, reconciliation, lineage, observability, alerting and operational runbooks
Apply engineering practices including version control, code review, CI/CD, infrastructure automation and appropriate change controls; improve performance and platform efficiency.
Mentor engineers, lead technical reviews and contribute to shared patterns, coding standards and communities of practice
Partner with business stakeholders, architects, security, governance, analytics and platform teams to clarify requirements, dependencies and data ownership
Proactively identify delivery risks, technical debt and cross-team dependencies; communicate progress, options and recommendations clearly
Enable trusted data for analytics, planning, automation and AI use cases while respecting privacy, security and access controls- Strong hands-on SQL and Python skills, with experience in distributed data processing using PySpark and/or Databricks
Ability to influence technical decisions, mentor peers and communicate effectively with engineering and non-technical stakeholders
Solid experience with cloud data platforms and warehouses, particularly Snowflake; knowledge of data modelling, dimensional design and data product principles
Understanding of data security, access management, data quality, governance and regulatory considerations in enterprise environments
Bachelor’s degree in a relevant discipline or equivalent practical experience
Typically 6+ years of professional data engineering or software engineering experience, including ownership of complex production data solutions
Experience designing data pipelines and transformations using modern ETL/ELT tools and frameworks, such as dbt, Ab Initio or equivalent technologies
Experience with orchestration, Git-based workflows, automated testing, CI/CD, monitoring and troubleshooting production data services
Enterprise integration experience with SAP S/4HANA, financial planning systems, supply chain applications, ServiceNow or HR platforms
Experience building reconciled financial data, master/reference data or enterprise operational data products
Experience with AWS services, APIs, event-driven integration and infrastructure as code
Exposure to AI/ML data preparation, data observability, metadata management and modern data governance practices
Experience working with globally distributed teams and supporting cross-functional transformation programmes

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