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Sr Analytics Engineer
Who we are
At Fortis Games we aspire to make great games that bring people together while redefining how game companies work. We believe in building a sense of belonging through our games, their communities, and how we operate and treat each other. Through our game communities, we will create powerful connections and lasting memories. We will foster a culture of diversity, equity and belonging where together our diverse skills, experiences and backgrounds impact the games we make.
We are an early but mighty organization with a leadership team of game industry veterans. There are many opportunities for you to have a big impact on the products we'll be making as well as the overall direction of the company. If you're passionate about tackling difficult problems with direct and thoughtful communication and team first mentality, we may be the right place for you.
About the role
Join our dynamic Data Engineering team as a Senior Data Engineer, where you'll play a pivotal role in shaping the foundation of data at Fortis. Partner with the broader Data team to deliver high-quality analytics products that unlock insights, fuel better decision-making, and drive the success of our games and cross-functional teams—including Analytics, QA, Community, and Player Support. You’ll play a role in helping to define the future of our data platform—including data schemas, and self-serve tools—while also empowering game teams by enabling them to become data driven. You’ll dig into rich data sources to surface insights, identify trends, and unlock new opportunities.
What you’ll achieve
- Work with the data engineering team to build data processing pipelines on the Fortis Data Platform
- Partner with Analytics to design, build and maintain data models in response to end customer needs
- Examine, deconstruct and deep dive into large, unstructured datasets in order to identify useful and relevant information
- Build and optimise data structures that underpin our Analytical dashboards to ensure optimal performance, timeliness and quality of information provided to stakeholders)
What you’ll need to be successful
- Demonstrated experience as a Data engineer in a high volume, low latency environment; video games experience is a plus
- Experience with Big Data technologies such as Kafka, Spark
- Expert in Python for API integration, data manipulation and enrichment
- Advanced SQL: Aggregate and window functions, joins and CTEs
- Strong understanding of database design for optimal performance; experience with Clickhouse would be a bonus
- Proven ability to ensure high standards of data quality, accuracy and completeness
- Proficient with GitHub for version control and collaboration
- Familiarity with AWS (S3, Glacier, Kinesis, Redshift), large datasets, Looker, and gaming industry
Why join us
There are many reasons to join us, but here are a few:
- We strongly believe we are changing how games studios operate and at the core of what we do is making great games that create a connected community
- We're not just about making Games Where You Belong. We're also about building communities where our people belong. That's why Fortis is a thriving environment that celebrates diversity, embraces inclusivity, and fosters growth.
- Build and grow with a seasoned team of accomplished talent who have left an impactful mark in their disciplines, both in and out of gaming
Fortis is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law, and will not be discriminated against on the basis of disability.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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