Get AI-powered advice on this job and more exclusive features.
This range is provided by Realtime Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Realtime Recruitment
Senior IT Recruitment Consultant at Realtime Recruitment
Skilled Data Engineer required to enhance the data infrastructure, optimize workflows, and support quantitative research and trading strategies.
The data engineering and quantitative teams collaborate to develop cutting-edge models, analytics, and technology solutions.
Responsibilities:
* Design, develop, and maintain scalable data pipelines for high-frequency and large-scale data processing.
* Collaborate cross-functionally with quantitative analysts, traders, and developers to optimize data access, storage, and processing.
* Implement robust ETL (Extract, Transform, Load) processes to ensure data integrity and availability.
* Develop and optimize real-time and historical data retrieval systems for analysis and model development.
* Work with structured and unstructured data, integrating various data sources into a cohesive data architecture.
* Enhance the performance of data systems, ensuring low-latency and high-availability for critical applications.
* Implement and enforce data governance, security, and best practices in data management.
* Automate workflows to improve operational efficiency in data ingestion, transformation, and analysis.
* Stay updated on emerging technologies and best practices in data engineering, cloud computing, and big data.
Qualifications:
* Bachelor's, Master’s, or PhD in Computer Science, Data Engineering, Mathematics, or a related field.
* 3+ years of experience in data engineering, preferably in trading and capital markets.
* Proficiency in Python and experience with Python libraries for data processing.
* Experience with big data technologies like Spark, Hadoop, and Kafka.
* Knowledge of cloud platforms such as AWS, GCP, or Azure.
* Familiarity with data modeling, ETL workflows, and pipeline orchestration tools (e.g., Airflow, Prefect).
* Understanding of data storage methodologies and distributed computing principles.
* Excellent communication skills to effectively interact with quantitative analysts, traders, and developers.
* Strong problem-solving skills, attention to detail, and ability to work in a fast-paced environment.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
IT Services and IT Consulting
#J-18808-Ljbffr