Описание

Senior Data Engineer will design, build, and operate production-grade data pipelines and AWS-based data services for a sports-tech mobile platform. The role includes defining core data models, establishing a single source of truth for business and product metrics, and supporting scalable, cost-efficient data architecture. It is a remote position open to candidates worldwide and requires strong Python and SQL skills.

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

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

We offer

Great talent knows no borders! You can work from wherever you are — we hire and collaborate with professionals worldwide
Balance your professional and personal life with our flexible working conditions, empowering you to deliver your best from anywhere
Dive into impactful projects across industries that challenge and spark creativity
Grow your career with continuous learning, development opportunities, and hands-on experience
Collaborate with our diverse and cross-cultural team of passionate technologists and creative thinkers

Hiring process

Initial Interview: If your background fits the role, we
ll invite you for an interview with a Talent Acquisition Specialist
Technical Interview: Depending on the position, you may complete a technical assessment or test task
Client Interview
Final Decision: After all steps, we
ll get back to you with the result and next steps