At a Glance
- Tasks: Join us as a Data Engineer to build and optimise ETL pipelines for game insights.
- Company: We're a leading gaming company focused on data-driven strategies and innovative solutions.
- Benefits: Enjoy hybrid work options, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic environment with opportunities to mentor and share knowledge.
- Why this job: Be part of a creative team that values collaboration and cutting-edge technology in gaming.
- Qualifications: 4+ years in data engineering, strong SQL skills, and experience with cloud platforms required.
The predicted salary is between 36000 - 60000 £ per year.
Key Responsibilities
- Involved in entire development lifecycle, from brainstorming ideas to implementing elegant solutions to obtain data insights.
- 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.
- Work with analysts, understand requirements, develop technical specifications for ETLs, including documentation.
- Support production code to produce comprehensive and accurate datasets.
- Automate deployment and monitoring of data workflows using CI/CD best practices.
- Promote strategies to improve 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.
- 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 Python, C++ or 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 with product analytics solutions (Amplitude, Mixpanel).
- Experience working on mobile attribution solutions (Appsflyer, Singular).
- Experience working on a mobile game or a mobile app, ideally from early stages of the product life cycle.
- Experience working in an Agile development environment and familiar with process management tools such as JIRA, Target process, Trello or similar.
Nice to Have
- Familiarity with data security, privacy, and compliance frameworks.
- Exposure to machine learning pipelines, MLOps, or AI‑driven data products.
- Experience with big data platforms and technologies such as EMR, Databricks, Kafka, Spark.
- Exposure to AI/ML concepts and collaboration with data science or AI teams.
- Experience integrating data solutions with AI/ML platforms or supporting AI‑driven analytics.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
Computer Games
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Data Engineer - ETL employer: Electronic Arts (EA)
At Electronic Arts, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and excel. As a Senior Quality Designer, you will benefit from flexible remote working options, comprehensive professional development opportunities, and a collaborative environment that values your contributions in shaping the future of gaming. Join us in Manchester or Hyderabad, where you can thrive in a vibrant community dedicated to quality and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - ETL
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Electronic Arts (EA).
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We think you need these skills to ace Data Engineer - ETL
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Electronic Arts (EA), your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Electronic Arts (EA). Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Electronic Arts (EA)
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Electronic Arts (EA)!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
