Staff Data Engineer – Product Insights, Gaming Industry

opinov8

Staff Data Engineer designing and implementing data solutions for a top gaming company in eSports. Collaborating with analysts and engineers to enhance player experiences through data infrastructure.

Posted 5/27/2026full-timeRemote • 🇵🇹 PortugalLeadWebsite

Tech Stack

Tools & technologies

AirflowAWSCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Actively design, build, and optimize scalable ETL pipelines for structured and semi-structured data supporting Insights use cases, growth metrics, pubsports, and other out-of-game data sets.
Design and implement complex data models using industry best practices that capture a complete ecosystem view of in- and out-of-game experiences, while ensuring accuracy, scalability, and long-term usability.
Architect and implement robust, maintainable, and high-performance data solutions.
Automate workflows to reduce manual intervention and enhance data processing efficiency, including automation for content, growth, and pubsports areas of coverage.
Mentor data engineers across all levels, through code reviews and technical guidance, setting best practices and fostering technical growth.
Optimize query performance and resolve pipeline bottlenecks to improve data accessibility.
Evaluate and prototype new tools, frameworks, and methodologies to advance data engineering capabilities.
Support cost optimization by ensuring scalable and efficient data solutions.
Ensure data quality, governance, and compliance with regulatory standards (e.g., GDPR, CCPA).
Contribute to the Data Engineering team's discipline by shaping infrastructure, craft standards, tooling, and organizational best practices.

Requirements

What you’ll need

Bachelor's or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
6+ years experience in data engineering or a related field.
Expert-level hands-on coding skills, specifically in Python, SQL, and tools like Airflow and dbt.
Proficiency in cloud infrastructure (AWS or GCP) and Databricks.
Expertise in designing efficient and scalable data models with large data sets across multiple teams and in collaboration with insights or data stakeholders.
Demonstrated ability to operate as Lead Individual Contributor and work cross-functionally with engineering, analytics, and product teams.
Proven experience mentoring and guiding other engineers on technical implementation and craft excellence.

Benefits

Comp & perks

Digital-First Approach: Great talent knows no borders! You can work from wherever you are — we hire and collaborate with professionals worldwide.
Remote Work Model: Balance your professional and personal life with our flexible working conditions, empowering you to deliver your best from anywhere.
Exciting Projects: Dive into impactful projects across industries that challenge and spark creativity.
Boost Your Expertise: Grow your career with continuous learning, development opportunities, and hands-on experience.
Join the Best Team Ever: Collaborate with our diverse and cross-cultural team of passionate technologists and creative thinkers.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ETLdata modelingPythonSQLAirflowdbtcloud infrastructureAWSGCPDatabricks

Soft Skills

mentoringtechnical guidancecross-functional collaborationleadershipcode reviewsbest practicesorganizational skillscommunicationproblem-solvingdata governance