Data Engineer

At Megapixel you will be part of a tight-knit team currently working on exciting projects at the cutting edge of analytics in the iGaming industry.

As our next Data Engineer, you will play a critical role in managing and improving our data platform. You will help ensure high-quality data is reliably ingested, processed, and made available in our data warehouse as efficiently as possible.

Our stack: Kafka, Spark on EMR, S3 data lake, Snowflake + dbt for analytics engineering, and Airflow for orchestration.

Responsibilities

• Design, build, and maintain batch and streaming data pipelines.
• Maintain our Spark streaming infrastructure, ensuring reliable operation and addressing issues when they arise.
• Develop and optimize data models and transformations in Snowflake using dbt.
• Operate and improve workflow orchestration using Airflow.
• Monitor pipeline reliability, data quality, and system performance.
• Develop integrations with third-party systems and internal services.
• Investigate and resolve data issues across the pipeline.
• Contribute to infrastructure, CI/CD, and platform tooling for the data team.
• Document systems, data models, and operational procedures.

Requirements for the role

• Strong SQL and experience working with analytical databases or data warehouses.
• Strong programming ability (Python preferred; Java/Scala acceptable).
• Professional experience with Apache Spark.
• Professional experience with Airflow or other orchestration tools.
• Experience building data pipelines in a cloud environment (AWS preferred).
• Familiarity with data modeling and warehouse design.
• Ability to work with product, analytics, and engineering stakeholders.
• Good command of written and spoken English.
• 3+ years of experience in a similar role.

Nice to have

• Experience with dbt.
• Experience with Kafka or other streaming systems.
• Experience within online gaming.

What we Offer

• A great atmosphere and company culture
• Work from home policy
• Private health insurance
• Fitness benefits
• Weekly wellness days (massage, etc.)
• Fresh fruits and snacks
• Weekly team lunches and breakfasts
• Fantastic company events
• Opportunity to learn and improve skills