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Data Developer

England, United Kingdom (Hybrid)

Data Developer

2 Months ago • All levels • Data Analyst

About the job

7 skills required for this role

Test your skills to join the top 1% applicants for this job

scala

spark

python

sql

data-science

tableau

power-bi

Job Description

SEGA Europe is seeking a Data Developer to join their Data Services team. This role requires extensive experience in SQL, Python/Scala, and cloud big data warehouse technologies like Databricks. You'll be responsible for developing, maintaining, and deploying data projects, analyzing game analytics, and presenting findings to stakeholders.

Must have:

SQL experience
Python/Scala skills
Data warehousing
Cloud technologies

Good to have:

Databricks experience
Apache Spark/pySpark
ML model development
Video game passion

Perks:

Hybrid working
Game industry exposure

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Description

Position at SEGA European Head Office

Role: Data Developer
Company: SEGA Europe Ltd
Location: SEGA HQ Brentford, Hybrid working (3-days per week in-office)

POSITION OVERVIEW

This is exciting opportunity to join a leading games publisher as a Data Developer. Working within the Data Services team, you will be collaborating with team members at SEGA and across its studios including Creative Assembly, Sports Interactive, Amplitude and Two Point. You will need to evangelise and engage the business in data and AI initiatives.

You will be responsible for data engineering and analysis. You will need to report on game analytics data for SEGA’s exciting portfolio of games. In this role, you will work closely with all areas of the business to ensure a joined-up data strategy and provide analysis and insight into SEGA’s games and consumers.

You will also be heavily involved in future SEGA data strategies, including GenAI initiatives, building real-time data workflows, and projects that leverage data to enhance our consumer engagement and communication.

This a fantastic chance to work in an exciting, fast paced environment in a well-established and thriving games publisher. If you are passionate about data science and eager to make an impact in the video games industry, we’d love to hear from you.

KEY RESPONSIBILITIES

As a key member of the data services team, you will provide detailed analysis and reporting on a variety of areas focused on game analytics and the people who play them. You will need to effectively collaborate with fellow Data Developers and Data Scientists to help find solutions to complex data challenges.

Oversee the development, maintenance, and deployment of data projects and pipelines across SEGA and its studios.
Promote the value of data-driven decision-making throughout the business and inspire teams to leverage data.
Be involved in the development of data initiatives, serving as the key point of contact for data technologies including Python, Spark, and SQL. Be a key knowledge source for databricks development in Spark, Python and SQL.
Encourage continuous learning by keeping up to date with relevant courses and certifications.

As a highly skilled communicator, you will be presenting recommendations and findings to key stakeholders within the business, taking on feedback but also comfortable with defending challenges to your findings as appropriate.

You will collaborate with other members of the team, helping to update various databases, data warehouses, and systems responsible for importing, storing, and reporting on a variety of data sources.

KNOWLEDGE, SKILLS & EXPERIENCE

Essential

Demonstrable experience working within a data analysis/engineering role.
High-level knowledge of SQL and good knowledge of Python/Scala plus experience in a cloud big data warehouse technology such as Amazon Redshift, Databricks, Snowflake.
Experience of data visualisation packages such as Power BI / Tableau.
Demonstrable experience synthesising a large amount of data into key themes and trends, spotting any anomalies, and building a comprehensive story.
Advanced data modelling skills with experience of managing large and complex data sets
Familiarity with data warehousing concepts.