Senior Data Engineer

Location: Dublin, Ireland; hybrid working policy applies

Base salary: €87,800–€131,800 per year

Company

hirify.global develops the PlayStation brand, including gaming hardware, network services, and entertainment experiences serving more than 100 million people.

What you will do

• Design, build, test, and maintain batch and near-real-time data pipelines and ETL/ELT workflows across enterprise systems, APIs, SaaS platforms, and cloud data environments.
• Develop reusable data models and curated data products for Finance, Supply Chain, IT Operations, People & Places, and Sales & Operations.
• Lead technical design, evaluate trade-offs, and deliver scalable, secure, maintainable, and cost-effective data solutions.
• Own solutions through deployment, monitoring, incident resolution, and continuous improvement.
• Implement automated testing, validation, reconciliation, lineage, observability, alerting, and operational runbooks.
• Mentor engineers and collaborate with engineering, product, platform, security, governance, analytics, and business teams.

Requirements

• 6+ years of professional data engineering or software engineering experience, including ownership of complex production data solutions.
• Strong SQL and Python skills, with distributed data processing experience using PySpark and/or Databricks.
• Experience with modern ETL/ELT tools such as dbt, Ab Initio, or equivalent technologies.
• Experience with cloud data platforms and warehouses, particularly Snowflake, plus data modelling and dimensional design.
• Experience with orchestration, Git workflows, automated testing, CI/CD, monitoring, troubleshooting, data security, access management, and governance.
• Bachelor’s degree in a relevant discipline or equivalent practical experience, with the ability to mentor peers and communicate with technical and non-technical stakeholders.

Nice to have

• Enterprise integration experience with SAP S/4HANA, financial planning systems, supply chain applications, ServiceNow, or HR platforms.
• Experience with AWS, APIs, event-driven integration, and infrastructure as code.
• Experience building reconciled financial data, master/reference data, or enterprise operational data products.
• Exposure to AI/ML data preparation, data observability, metadata management, and modern data governance.
• Experience working with globally distributed teams and cross-functional transformation programmes.

Culture & Benefits

• Hybrid working policy with base pay determined by job-related factors, skills, experience, and location.
• Paid time off and a wellness program.
• Employee discounts on Sony products.
• Potential eligibility for a bonus package.
• Background checks are conducted at the offer stage.