Data Engineer

2 weeks ago

Edinburgh, Edinburgh, United Kingdom Incentive Games Full time

About Incentive Games

Incentive Games is a pioneering company specializing in innovative retention and acquisition services through engaging free-to-play games. Our mission is to drive traffic and repeated visits to our clients' websites by rewarding the right users. We provide free-to-play games for leading companies in the gaming industry, such as Fanduel, Livescore, and Bet365.

Job Description:

As a Data Engineer at Incentive Games, you will play a crucial role in our data team. Your primary responsibility will be to design, implement, and maintain robust data infrastructure and pipelines, ensuring efficient data processing and availability for analysis and decision-making.

Key Responsibilities:

  1. Data Infrastructure and Pipelines: Design, develop, and maintain scalable ETL pipelines using AWS cloud technologies, ensuring efficient data ingestion, processing, and storage.
  2. Data Quality and Governance: Implement data quality checks, monitoring systems, and data governance practices, troubleshooting and resolving data-related issues in production environments.
  3. Collaboration and Data Delivery: Collaborate with Data Scientists and Analysts to understand data requirements and deliver high-quality, accessible datasets.
  4. Data Modeling and Analytics: Develop and maintain data models that support business intelligence and analytics needs.
  5. Code Reviews and Best Practices: Participate in code reviews and contribute to best practices in data engineering.
  6. Emerging Technologies and Trends: Stay up-to-date with emerging technologies and industry trends in data engineering.
  7. Documentation and Knowledge Sharing: Document data architectures, pipelines, and processes for knowledge sharing and maintenance.
  8. DevOps and DataOps: Implement and maintain DevOps/DataOps practices, including CI/CD pipelines, infrastructure as code, and monitoring systems.

Requirements:

  1. 3-4 years of experience as a Data Engineer or in a similar role.
  2. Strong experience working with AWS Data Stack (AWS Glue, Lambda, S3, Athena, etc.).
  3. Proven experience in building and developing data pipelines.
  4. Proficiency in Python and associated data frameworks (PySpark, Pandas, NumPy, etc.).
  5. Excellent knowledge of SQL and a good understanding of relational database architecture.
  6. Experience with DevOps/DataOps practices and tooling (e.g., CI/CD, infrastructure as code, monitoring).
  7. Familiarity with real-time data processing and streaming technologies (Amazon SQS) is a plus.

What We Offer:

  1. 4-day work week
  2. Competitive salary and benefits package.
  3. Opportunities for career growth and development.
  4. A flexible, informal work culture that values creativity and teamwork.

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