Data Engineer

Data Engineer

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and build data pipelines to enhance PlayStation experiences globally.
  • Company: Join Sony Interactive Entertainment, a leader in gaming innovation.
  • Benefits: Competitive salary, diverse team culture, and opportunities for growth.
  • Why this job: Make a real impact on gaming by improving data insights and analytics.
  • Qualifications: Experience in data engineering, strong SQL skills, and programming knowledge.
  • Other info: Collaborative environment with a focus on learning and shared problem-solving.

The predicted salary is between 36000 - 60000 £ per year.

The role involves joining Sony Interactive Entertainment, where data plays a key role in building, improving and understanding PlayStation experiences globally. As part of the Data Engineering team, you will help design, build and evolve the data processing platforms that power reporting, analytics and insight across the business.

Your work will support teams in understanding how our products are used and enjoyed, helping make better decisions in service of players. You will be part of a collaborative and welcoming team that values curiosity, learning and shared problem solving. This role offers the opportunity to take ownership of meaningful work, grow your technical skills, and explore new tools and ideas in a supportive environment.

Based in our London office, you will join a diverse team where different perspectives are valued and building great things together is part of the culture.

What you’ll be doing:

  • Designing, building and maintaining reliable data pipelines and processing components used across the business.
  • Writing clean, maintainable code and improving performance, data quality and cost efficiency over time.
  • Taking ownership of defined pieces of work, with support from the wider team, from development through to delivery.
  • Contributing to technical design, estimation and planning discussions to help the team deliver effectively.
  • Reviewing code and sharing feedback to support guidelines and collective code quality.
  • Working closely with project managers, analysts and other engineers to deliver work on time and to a high standard.
  • Operating comfortably in a fast-paced environment, balancing multiple priorities and adapting as requirements evolve.
  • Learning and applying new tools, technologies and approaches as the platform and team continue to grow.
  • Collaborating with teammates across different countries and cultures, with flexibility around time zones and ways of working.

What we are looking for:

Must have:

  • Experience as a data engineer (or similar), delivering production-ready, scalable code.
  • Strong SQL skills and experience with relational and analytical databases.
  • Programming experience in one or more of Python, Java, C or Spark-based technologies.
  • Experience working in UNIX or Linux environments, including shell scripting.
  • Experience contributing to data platforms handling complex, high-volume data.
  • Understanding of performance and cost considerations in data processing systems.
  • Familiarity with the software development lifecycle (for example Agile or Waterfall).
  • Strong problem-solving skills and ability to handle multiple priorities.
  • Clear communication skills, including explaining technical concepts to non-technical partners.
  • Collaborative, respectful approach to working with others.
  • Curiosity and eagerness to learn new tools and technologies.
  • Fluency in English.
  • Eligibility to work in the UK, with ability to travel occasionally to the US and Japan.

Nice to have:

  • Experience with data warehouse or analytical platforms (for example Snowflake or Teradata).
  • Familiarity with additional data processing or integration technologies.
  • Experience with graphical or low-code data development tools (for example Ab Initio).
  • Understanding of data modelling concepts.
  • Experience translating business requirements into technical solutions.

Data Engineer employer: Gofractional

At Sony Interactive Entertainment, we pride ourselves on being an exceptional employer, particularly for Data Engineers looking to make a significant impact in the gaming industry. Our London office fosters a collaborative and inclusive work culture that values diverse perspectives, offering ample opportunities for professional growth and skill development. With a focus on innovation and teamwork, you'll have the chance to work on meaningful projects that enhance player experiences while enjoying the benefits of a supportive environment.
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Contact Detail:

Gofractional Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Tip Number 1

Network like a pro! Reach out to current employees at Sony Interactive Entertainment on LinkedIn. A friendly message can go a long way in getting insider info and maybe even a referral.

✨Tip Number 2

Prepare for the interview by brushing up on your SQL and coding skills. We recommend doing some mock interviews with friends or using online platforms to get comfortable with common data engineering questions.

✨Tip Number 3

Show off your projects! If you’ve built any data pipelines or worked on relevant projects, make sure to discuss them during your interview. We love seeing real-world applications of your skills.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.

We think you need these skills to ace Data Engineer

Data Engineering
SQL
Relational Databases
Analytical Databases
Python
Java
C
Spark
UNIX
Linux
Shell Scripting
Data Platforms
Agile
Problem-Solving Skills
Communication Skills
Collaboration

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your SQL skills, programming experience, and any relevant projects you've worked on. We want to see how you can contribute to our team!

Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for data engineering. Share why you're excited about working with Sony Interactive Entertainment and how you can help improve PlayStation experiences. Keep it engaging and genuine!

Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and adapt to changing requirements, so don’t hold back on sharing your success stories!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our collaborative team!

How to prepare for a job interview at Gofractional

✨Know Your Data Engineering Basics

Make sure you brush up on your data engineering fundamentals. Be ready to discuss your experience with SQL, Python, and any relevant technologies like Spark. Prepare examples of how you've designed and built data pipelines in the past, as this will show your practical knowledge.

✨Showcase Your Problem-Solving Skills

During the interview, be prepared to tackle some technical problems or case studies. Think about how you can demonstrate your problem-solving approach, especially in high-volume data scenarios. This is a great chance to highlight your analytical thinking and how you handle multiple priorities.

✨Communicate Clearly and Collaboratively

Since you'll be working with diverse teams, practice explaining complex technical concepts in simple terms. This will help you connect with non-technical partners. Show that you value collaboration by discussing how you've worked with project managers and analysts in the past.

✨Embrace Curiosity and Learning

Sony Interactive Entertainment values curiosity, so express your eagerness to learn new tools and technologies. Share examples of how you've adapted to new challenges or explored innovative solutions in your previous roles. This will demonstrate that you're not just a coder, but a proactive learner.

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