Data engineer

IntellectoKids is one of the world's largest developers of educational apps for children ages 2 to 7. Our products are among the top 15 in the preschool apps category globally.

We're looking for a skilled Data Engineer to design and maintain robust data infrastructure and pipelines, driving data accessibility and reliability across our platform.

Working format: full-time, remote.

Schedule: Monday to Friday (the working day is 8+1 hours).

Responsibilities:

Design, develop, and maintain data pipelines using Apache Airflow.

Create and support data storage systems (Data Lakes / Data Warehouses) based on AWS (S3, Redshift, Glue, Athena, etc.).

Integrate data from various sources, including mobile apps, third-party APIs, and internal services.

Ensure data quality, consistency, and availability.

Support analysts: build user-friendly data marts and contribute to schema and data model design.

Set up pipeline monitoring, alerting, and logging.

Participate in architectural decisions and technology selection.

Optimize existing data storage systems and complex SQL queries.

Your goals and KPIs during the probation period:

Design and implement a data quality monitoring system for the raw data layer.

Review and analyze current data source integrations, identifying bottlenecks and proposing improvements to enhance data reliability and performance.

Key long-term goals:

Architect and evolve the analytical data delivery pipeline into a standalone, scalable service.

What we expect from you:

4+ years of experience as a Data Engineer, including 1+ year at a Senior level.

Deep knowledge of Airflow: DAGs, custom operators, and monitoring.

Strong command of PostgreSQL databases; familiarity with the AWS stack (S3, Glue or Redshift, Lambda, CloudWatch) is a significant plus.

Excellent SQL skills and confident Python programming.

Knowledge of Kotlin and Golang, and the ability to work with unfamiliar codebases.

Experience building robust ETL/ELT pipelines.

Understanding of data warehouse (DWH) design principles and data normalization.

Ability to work under uncertainty, prioritize tasks, and propose practical solutions.

Skill in reading documentation and understanding the limitations and capabilities of technologies.

Understanding of development practices (CI/CD, DevOps) and the ability to solve infrastructure-related challenges within the Data Engineer's scope.

Business fluent Russian and English.

Would be a plus:

Experience with tools such as Firebase Analytics, Amplitude, Adjust, AppsFlyer, or similar SDKs/platforms. Understanding of event structures, attribution, retention, LTV, and other mobile metrics. Ability to collect and aggregate user data from mobile sources for analytics.

Experience building real-time data pipelines (e.g., Kinesis, Kafka, Spark Streaming).

Hands-on CI/CD experience with GitHub.

Startup or small team experience - the ability to quickly switch between tasks, suggest lean architectural solutions, make independent decisions, and take ownership of the result.

What do we offer?

A high degree of autonomy and responsibility.

An exciting opportunity in the rapidly growing EdTech industry within a very dynamic team.

Growth opportunities as the company expands, with potential for professional development within the role and gradual transition to more complex and strategic tasks.

167 City Road,
London, Greater London, United Kingdom, EC1V 1AW