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

The Sr Analytics Engineer role helps us strengthen the data-driven culture in the company, integrating multiple heterogeneous data sources and working in close collaboration with our Analytics team to provide them with reliable, high-quality data sets and ensure that they have the tools and resources they need to derive meaningful insights from data.

• 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

Required qualifications

• Expert in Python: familiarity with using APIs to obtain 3rd party data, and for data manipulation and enrichment
• SQL Expert: Aggregate and window functions, joins and CTEs
• Experience with columnar database platforms
• Database design best practices: understand how to structure datasets for optimal performance
• Demonstrated ability to maintain high standards of data quality, accuracy and completeness
• Version control and collaboration using github
• Advanced English, written and spoken

• Strongly preferred: Experience with Kafka, Hadoop, and Spark
• Strongly preferred: Working with large datasets on a database platform, including normalization and denormalization
• Strongly preferred: Experience with AWS services like S3, Glacier, Kinesis, and Redshift
• Strongly preferred: Familiarity with Clickhouse and Looker

*PLEASE SUBMIT RESUME IN ENGLISH*

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.