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- Tasks: Drive data engineering excellence and maintain robust data infrastructure for educational apps.
- Company: Join IntellectoKids, a leading developer in the EdTech industry.
- Benefits: Enjoy remote work, autonomy, and growth opportunities in a dynamic team.
- Why this job: Make a real impact on children's education through innovative data solutions.
- Qualifications: 4+ years as a Data Engineer with strong SQL and Python skills.
- Other info: Exciting career growth potential as the company expands.
The predicted salary is between 36000 - 60000 £ per year.
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 are looking for a skilled Data Engineer to drive the evolution of our data capabilities with a focus on accessibility and reliability, design and maintain robust data infrastructure and pipelines.
Working format: full-time, remote. Schedule: Monday to Friday (the working day is 8+1 hours).
Responsibilities:
- Drive Data engineering excellence.
- Continuously analyze existing data practices and propose improvements.
- Participate in architectural decisions and technology selection.
- Design, develop, and maintain data pipelines using our AWS based tech stack (S3, Redshift, Glue, Athena, Apache Airflow).
- Integrate with various data sources, including mobile apps, third-party APIs, and internal services.
- Set transparent expectation levels and continuously improve data quality, consistency, and availability.
- Support analysts: design performant and user-friendly data marts, contribute to schema and data model design.
- Optimize datastores storage and performance, share query/processing best practices with the users.
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.
- Ability and willingness 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 in Russian and English.
Would be a plus:
- Knowledge and relevant experience with Kotlin and Golang (if not the case - should be learned in a fast pace).
- 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.
Contacts: careers@intellectokids.com, 167 City Road, London, Greater London, United Kingdom, EC1V 1AW
Data engineer employer: IntellectoKids
Contact Detail:
IntellectoKids Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other data engineers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, Airflow, and data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when tackling problems, as this will demonstrate your analytical skills and experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at IntellectoKids.
We think you need these skills to ace Data engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with AWS, PostgreSQL, and any relevant projects that showcase your skills in building data pipelines. We want to see how you can drive data engineering excellence!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at IntellectoKids. Let us know how you can contribute to our data capabilities.
Showcase Your Technical Skills: Don’t forget to mention your technical skills, especially with Airflow, SQL, and Python. If you've worked on any cool projects or faced challenges in these areas, share those stories! We love hearing about real-world applications of your skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. We can't wait to hear from you!
How to prepare for a job interview at IntellectoKids
✨Know Your Tech Stack
Make sure you’re well-versed in the AWS tech stack mentioned in the job description, especially S3, Redshift, Glue, and Airflow. Brush up on your knowledge of PostgreSQL and SQL skills, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've identified bottlenecks in data processes and how you proposed improvements. This will demonstrate your analytical thinking and ability to enhance data reliability and performance.
✨Understand Data Quality Principles
Since one of your goals will be to design a data quality monitoring system, be ready to talk about your experience with data quality metrics and monitoring systems. Highlight any relevant projects where you’ve implemented similar solutions.
✨Be Ready for Cultural Fit Questions
IntellectoKids values autonomy and responsibility, so prepare to discuss how you’ve thrived in similar environments. Share experiences from past roles where you took ownership of projects and made independent decisions.
