[REMOTE] Data Engineer

CrazyGames; Vlaams-Brabant; Remote; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Flexible hours

Remote-work freedom

Team flights & accommodation for team 

Job summary

CrazyGames.com, one of the world’s largest casual gaming platforms with a massive user base, seeks an experienced Data Engineer to join our Europe-based team in a full or hybrid remote capacity.

You will own the data pipeline from ingestion through cleanup and aggregation, enabling analysts to glean insights from a 300M+ gameplay dataset and beyond.

Qualifications

• Strong SQL skills and data modeling experience.
• Experience maintaining and optimizing data pipelines and data ingestion.
• Familiarity with AWS services and a large data lake environment.
• Ability to work autonomously in a distributed/remote setup.
• Experience in Gaming/Media/Entertainment is a plus.

Responsibilities

• Monitor data pipeline health and resolve performance issues.
• Create new intermediate tables in the data lake to simplify data consumption.
• Collaborate with Data Scientists to improve dataset quality.
• Improve data ingestion processes to reduce costs and improve efficiency.
• Develop and support a semantic layer for AI-driven analyses.

Skills

SQL

Data pipeline design

Data engineering

Cost optimization

Remote collaboration

Analytical mindset

Tools

AWS

Redshift

Job description

CrazyGames.com, one of the world’s largest casual gaming platforms with over 60M monthly visitors, is looking for a (full or hybrid) remote experienced Data Engineer in Europe.

Your mission will be to handle the data pipeline from collection to cleanup and aggregation of the data of milions of users daily, making it available for analysts and the company to gain insigths from. You will report to the Head of Data and will work closely with Data & Engineering teams.

On a typical day you might:

• Monitor the health of the data pipeline and solve performance issues;
• Create a new intermediate table in our data lake to simplify the consumption of information;
• Interact with the Data Scientists to improve the quality of the datasets they use;
• Improve the data ingestion process, making it more cost-effective;
• Develop and support a semantic layer for AI-driven data analyses.

Key outcomes for the role:

• Within 1 month, you have a clear understanding of every step of our data pipeline (from ingestion usage in dashboards);
• Within 3 months, you have spotted areas of improvements and cut costs or boosted time efficiency by 5%;
• Within 6 months, you have deployed multiple changes on our data pipeline and can autonomously plan future work;
• Within 12 months, you fully own our data pipeline and have successfully taken over the responsibilities from our Engineers.

What we offer:

• Join the Data team alongside Data Analysts and Scientists
• Work with our elite engineering team of 15+ experienced engineers
• A modern tech stack on a massive scale (over 300M gameplays per month across device types from users across the globe)
• A lot of responsibility and freedom. We hire only experts and trust them to deliver excellent results.
• Flexible working hours and location. The results are what counts!
• 1-2 team weeks per year. We pay for flights and accommodation so you can have fun with the team.
• The opportunity to play games and claim it's work.

Requirements

Reach out if:

• You want to maintain and improve the infrastructure that collects, stores, and transforms our analytics data, ensuring it stays reliable and cost-efficient (including ingestion, cleanup, summarisation and aggregation of data).
  • Bonus points if you have experiencei in AWS infrastructure and especially Redshift.
• You can spot area of improvements in the data process and deliver results autonomously; and you know SQL very well.
• You like open, efficient, and to-the-point communication and you have experience in working remotely.
• You are intelligent, efficient, and organized. You have an attention to detail.
• You have relevant experience working in a company which has large data lake catering to an extensive user base.
  • Experience in the Gaming, Media or Entertainment sector is a plus.
• You’re used to leveraging AI for efficient work, without giving in on critical thinking

Please note: glaring use of GenAI technologies to fill in the screening questions will result in disqualification.