Data Engineer – Market Data
About Skanestas
Skanestas Investments Limited, established in 2013 in Cyprus, is a licensed European investment firm renowned for its innovative approach in combining traditional financial services with modern portfolio management. Specializing in brokerage, portfolio management, and cutting-edge algorithmic trading, Skanestas stands out for its strategic market access, adherence to EU regulations, and a client-centric profit-sharing model. With a robust growth trajectory from its inception and a commitment to compliance and excellence, Skanestas offers a dynamic and forward-thinking environment for professionals, particularly those specialized in market data and data engineering, looking to impact the finance sector.
Main duties and responsibilities
- Design and implement efficient, scalable data ingestion pipelines from diverse sources using Python, with an option to use Golang, Rust, or Scala;
- Collaborate with quantitative analysts to understand and implement database requirements;
- Develop, construct, test and maintain architectures, such as databases and large-scale data processing systems;
- Work with data and analytics experts to strive for greater functionality in our data systems;
- Continuously evaluate new technologies to improve and extend the platform capabilities;
- Ensure data accuracy and integrity through high-quality coding and testing procedures;
- Design and implement data tools for analytics and data scientist team members to assist them in building and optimizing our product.
Candidate profile
- BS/MS degree in Computer Science, Engineering, or a related subject
- Strong proficiency with Python; experience with Golang, Rust, or Scala a plus;
- Proven working experience as a Data Engineer;
- Experience with big data tools: Hadoop, Spark, Kafka, etc.;
- Experience with relational SQL and NoSQL databases;
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.;
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.;
- Strong problem solving and analytical skills;
- Excellent written and verbal communication skills.