Senior Data Engineer
Chiliz Chain
- Posted On: 2025-09-23 20:52:25
- Openings: 10
- Applicants: 0
Job Description
ABOUT USWe’re like-minded, curious, excitable people here at Chiliz who work well in teams, spread across the globe. Chiliz is a global blockchain company, which powers Socios.com - the creators of Fan Tokens, and the popular fan rewards platform.Socios has partnered with some of the world’s best teams, including Paris Saint-Germain, Juventus, FC Barcelona, Atlético de Madrid, UFC, Galatasaray, Manchester City FC, and many more.The curious nature of a Chilizen is what drives this company forward, and since we’re looking to grow even more, apply for your dream role today.OUR BRANDS & CHANNELSWe are building the web3 infrastructure for sports & entertainment!Founded in 2018, Chiliz is a blockchain provider focused on the sports and entertainment industry. We build scalable, secure blockchain-enabled solutions that supercharge fan experiences using digital assets.$CHZ is the native digital token for the Chiliz sports & entertainment ecosystem currently powering Socios.com and the Chiliz Chain blockchain.Socios.com is a fan engagement and rewards app that allows fans to engage with their favourite teams and clubs through digital assets known as Fan Tokens.THE ROLEThe Senior Data Engineer will play a key role in designing, developing, and maintaining our data infrastructure, enabling the organisation to extract valuable insights from diverse datasets. The candidate will collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to ensure the seamless flow of data and facilitate data-driven decision-making.Duties and Responsibilities:- Implement scalable data lake/lakehouse solution on AWS.
- Design and implement big data pipelines using batch and streaming tools.
- Develop data modelling workflows with DBT.
- Orchestrate workflows with Airflow.
- Collaborate with global teams to ensure data governance standards are met.
- Build and deploy end-to-end CI/CD pipelines, incorporating DevOps best practices.
- 3+ years experience in a similar role.
- Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Engineering or similar).
- Great at communicating ideas and working in a team.
- Solid proficiency experience with Python to develop data ingestion pipelines.
- Advanced knowledge of REST APIs and Websockets.
- Experience with Delta Lake infrastructures and large datasets processing with Apache Spark / PySpark.
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, Glue, Fargate, Lambda, IAM, EMR, Kinesis)
- Working knowledge of DBT for Data Modeling.
- Expert knowledge of SQL and experience in using cloud-based DWH, such as Redshift/Snowflake/Google Big Query.
- Knowledge designing CI/CD pipelines and IaC experience, Terraform preferred.
- Experience with building data pipeline processes and orchestration tools such as Airflow.
- Good understanding of cloud infrastructure platforms.
- Self-starter and detail-oriented. You can complete projects with minimal supervision.
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Education
Any Graduate
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