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Maklumat Am

Lokasi: Southam, Warwickshire, United Kingdom 
ID Peranan
210096
Jenis Pekerja
Regular Employee
Studio/Jabatan
CT - Data & Insights
Pengaturan Kerja Fleksibel
Hybrid

Perihalan & Keperluan

Electronic Arts mencipta pengalaman hiburan tahap seterusnya yang memberi inspirasi kepada pemain dan peminat di seluruh dunia. Semua orang adalah sebahagian daripada kisah di sini. Sebahagian daripada komuniti yang terhubung merentasi dunia. Tempat di mana kreativiti berkembang maju, perspektif baharu di alu-alukan dan idea adalah penting. Satu pasukan di mana semua orang terlibat dalam permainan.

We are looking for an experienced Data Engineer with broad technical skills and ability to work with large amounts of data.  You will collaborate with the Game and Product teams to implement data strategies and develop complex ETL pipelines that support dashboards for promoting deeper understanding of our games.

 

You will have experience developing and establishing scalable, efficient, automated processes for large-scale data analyses. You will also stay informed of the latest trends and research on all aspects of data engineering and analytics.  You will work with leaders from an internal Game Studio,  providing them with data for understanding game and player insights and report to the Technical Lead for this group. This is a hybrid role based in our Southam office.

 

Key Responsibilities:

  • As a Data Engineer you will be involved in the entire development life cycle, from brainstorming ideas to implementing elegant solutions to obtain data insights.
  • You will gather requirements, model and design solutions to support product analytics, business analytics and advance data science
  • Design efficient and scalable data pipelines using cloud-native and open source technologies
  • Develop and improve ETL/ELT processes to ingest data from diverse sources.
  • You will work with analysts, understand requirements, develop technical specifications for ETLs, including documentation.
  • You will support production code to produce comprehensive and accurate datasets.
  • Automate deployment and monitoring of data workflows using CI/CD best practices.   
  • You will promote strategies to improve our data modelling, quality and architecture
  • Participate in code reviews, mentor junior engineers, and contribute to team knowledge sharing.
  • Document data processes, architecture, and workflows for transparency and maintainability.
  • You will work with big data solutions, data modelling, understand the ETL pipelines and dashboard tools

 

Required Qualifications:

  • 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
  • Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions
  • Experience in data modelling and tools such as dbt, ETL processes, and data warehousing
  • Experience with at least one of the programming languages like Python, C++,  Java
  • Experience with version control and code review tools such as Git
  • Knowledge of latest data pipeline orchestration tools such as Airflow
  • Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation).
  • Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).
  • Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI).
  • Experience working in an Agile development environment and familiar with process management tools such as JIRA, Target process, Trello or similar

 

Nice to have:

  • Experience with big data platforms and technologies such as EMR, Databricks, Kafka, Spark
  • Experience working on a mobile game or a mobile app data features, ideally from early stages of the product life cycle
  • Experience with product analytics solutions (eg Amplitude, Mixpanel)
  • Experience with mobile attribution solutions (eg Appsflyer, Singular)
  • Exposure to AI/ML, MLOps concepts and collaboration with data science or AI teams
  • Experience integrating data solutions with AI/ML platforms or supporting AI-driven analytics


Tentang Electronic Arts
Kami berbangga mempunyai portfolio permainan dan pengalaman yang luas, lokasi di seluruh dunia dan peluang merentasi EA. Kami menghargai kebolehsuaian, ketahanan, kreativiti dan sifat ingin tahu. Daripada kepimpinan yang menyerlahkan potensi anda, kepada mewujudkan ruang untuk pembelajaran dan membuat uji kaji, kami memperkasakan anda untuk melakukan kerja-kerja yang hebat dan mengejar peluang untuk pertumbuhan.

Kami mengambil pendekatan yang holistik dengan program manfaat kami, memberi tumpuan kepada fizikal, emosi, kewangan, kerjaya, dan kesejahteraan komuniti untuk menyokong kehidupan yang seimbang. Pakej kami disesuaikan untuk memenuhi keperluan setempat dan mungkin merangkumi perlindungan penjagaan kesihatan, sokongan kesejahteraan mental, simpanan persaraan, cuti bergaji, cuti keluarga, permainan percuma dan banyak lagi. Kami memupuk persekitaran di mana pasukan kami sentiasa boleh membawa pengalaman terbaik mereka.

Electronic Arts adalah majikan peluang yang sama rata. Semua keputusan pekerjaan dibuat tanpa mengambil kira kaum, warna kulit, asal negara, keturunan, jantina, identiti atau penzahiran jantina, orientasi seksual, umur, maklumat genetik, agama, kecacatan, keadaan perubatan, kehamilan, status perkahwinan, status keluarga, status veteran, atau mana-mana ciri lain yang dilindungi oleh undang-undang. Kami juga akan mempertimbangkan pemohon pekerjaan berkelayakan yang mempunyai rekod jenayah selaras dengan undang-undang yang berkenaan. EA juga menyediakan tempat tinggal di tempat kerja untuk individu yang berkelayakan dengan kecacatan seperti yang dikehendaki oleh undang-undang yang berkenaan.