Data Engineer

Sony Interactive Entertainment Europe Limited; City of Westminster; Presencial; GBP 70.000 - 120.000; Jornada completa

Descripción de la vacante

Sony Interactive Entertainment Europe Limited is seeking an experienced Data Engineer to design, build and operate robust data pipelines across batch and near-real-time workloads. You will translate complex business logic into reliable data models and ensure scalable, secure, and maintainable solutions.

You will own the data engineering lifecycle from requirements through deployment, monitoring and continuous improvement, collaborating with platform teams, security and analytics to enable

Formación

• Bachelor's degree in a relevant discipline or equivalent practical experience.
• Strong hands-on SQL and Python skills with experience in distributed data processing.
• Experience with PySpark and Databricks.
• Experience with AWS services, APIs and event-driven integration.
• Knowledge of data governance, security and lineage practices.

Responsabilidades

• Design, build, test and maintain robust batch and near-real-time data pipelines.
• Develop reusable data models and data products aligning with business needs.
• Lead technical design and ensure scalable, secure solutions.
• Mentor engineers and contribute to coding standards.
• Collaborate with cross-functional teams to clarify data ownership.

Conocimientos

SQL

Python

PySpark

Databricks

Educación

Bachelor's degree in a relevant discipline

Herramientas

dbt

Ab Initio

Kubernetes

CI/CD

Descripción del empleo

• Design, build, test and maintain robust batch and near-real-time data pipelines and ETL/ELT workflows across Player data systems, APIs, Snowflake Db 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 quality, reliability and operations
• 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.
• Provide technical leadership and collaborate
• Mentor engineers, lead technical reviews and contribute to shared patterns, coding standards and communities of practice.
• Partner with TPM's, 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.
• Typically 5+ 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.
• Solid experience with cloud data platforms and warehouses, particularly Snowflake; knowledge of data modelling, dimensional design and data product principles.
• Experience with orchestration, Kubernetes, Git-based workflows, automated testing, CI/CD, monitoring and troubleshooting production data services.
• Understanding of data security, access management, data quality, governance and regulatory considerations in enterprise environments.
• Experience leveraging AI coding assistants, agentic workflows, and AI-driven development tools to accelerate engineering productivity and improve code quality.
• Familiarity with building or integrating AI agents into data engineering workflows would be a strong plus.
• Ability to influence technical decisions, mentor peers and communicate effectively with engineering and non-technical stakeholders.
• Bachelor's degree in a relevant discipline or equivalent practical experience., Strong hands-on SQL and Python skills, with experience in distributed data processing using PySpark and/or Databricks.
• 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 programs.
• Sony Interactive Entertainment isn't just the Best Place to Play - it's also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity., Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.