Senior Data Engineer

Opinov8

5d • Remote

About The Position

Our client is an established product company in the sports-tech industry, delivering a mobile application focused on skill assessment and talent evaluation. The platform enables users to record short performance exercises via smartphone, which are then processed using AI-based computer vision to generate objective performance metrics and rankings. The solution connects end users with organizations seeking data-driven insights for talent identification.

Requirements

• 5-7+ years of professional experience in data-heavy roles (data engineering, ML engineering, or similar)
• Strong programming skills in Python (clean architecture, testing, modular design not just scripts)
• Solid SQL skills and experience designing analytical schemas
• Hands-on experience building production data pipelines and services
• Strong experience with AWS and cloud-native data architectures
• Familiarity with infrastructure concepts (CI/CD, monitoring, logging, deployments)
• Comfortable working with imperfect, real-world data and evolving requirements
• Experience working in fast-paced or early-stage environments
• You understand that data work is software engineering
• Excellent communication skills in English, with the ability to effectively collaborate with cross-functional and international teams
• Passionate about sports, performance analytics, and leveraging data to make a real-world impact

Responsibilities

• Define and implement core data models (users, events, performance)
• Design and operate robust, production-grade data pipelines
• Establish a single source of truth for key business and product metrics
• Structure data for business and product analysis (retention, funnels, activation)
• Build and deploy data services and jobs on AWS (e.g. S3, Lambda, ECS/EKS, Glue, Athena, Redshift, etc.)
• Make pragmatic decisions on how data is stored, processed, and accessed
• Evaluate and introduce tools (e.g. BigQuery, Snowflake, Databricks) where they add clear value
• Ensure the architecture scales with product, AI, and data growth without overengineering
• Optimize pipelines for scalability, cost efficiency, and performance.
• Write clean, maintainable, and well-structured Python code following software engineering best practices.
• Work closely with Product, Engineering, AI, and Business teams

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed