DATA ENGINEER, SOFTWARE DEVELOPMENT

Iress; Paris; Sur place; EUR 50 000 - 70 000; Plein temps

Résumé du poste

A technology firm in Paris is seeking a Data Engineer to join their agile R&D team. The role involves designing and maintaining market data products, with a focus on data ingestion, quality, and processing using Python. Candidates should have over 5 years of ETL design experience and a strong background in Python production code. Strong problem-solving skills and the ability to work autonomously are essential.

Qualifications

• 5+ years experience in ETL design and implementation.
• Proven track record in Python with production-level code.
• Experience with relational and NoSQL databases.

Responsabilités

• Design, build, maintain, and support Market Data Products suite.
• Ingest data from various formats and APIs.
• Implement data quality and monitoring mechanisms.

Connaissances

ETL design

Python

Relational databases

NoSQL databases

Observability platforms

Collaboration

Problem-solving

English proficiency

Outils

Apache Airflow

Elasticsearch

Docker

GitLab CI/CD

Description du poste

DATA ENGINEER, SOFTWARE DEVELOPMENT

Apply locations: Paris | Time type: Full time | Posted on: Posted 30+ Days Ago | Job requisition id: V-09679

See yourself being part of a large, transformational change? This could be the role for you!

Role

QuantHouse has developed a suite of Market Data Products including Reference Data, EOD pricing data, Historical Market Data, Cross-Reference services, and Analytics. You will be joining the agile R&D team responsible for the functional and technical design, implementation, and maintenance of the Market Data Products suite. Technical environment includes Python, Shells, Unix, SQL/NoSQL.

What you will be doing

• Design, build, maintain, and support QuantHouse’s Market Data Products suite.
• Ingest data from different file formats and APIs.
• Design and implement cross-linking logic to enrich content based on third-party data sources.
• Develop data quality and monitoring mechanisms to ensure high service quality and availability.
• Contribute to the improvement of internal tools, reports, and alerts.
• Implement, optimize, and maintain data processing logic using Python libraries.
• Improve scalability, resiliency, and observability.
• Enhance performance through code optimization and parallelization (Python Multiprocessing and Multithreading).
• Provide Level 2 support.
• Collaborate with the Production team to monitor the Market Data Products in production and generate reports.
• Work with the Product team to specify and develop new features.

What you will need to be successful in this role

• Solid experience (5+ years) in ETL design and implementation.
• Proven track record in Python (not just scripting but implementing production code), with knowledge of Python Multiprocessing and Multithreading.
• Experience with relational and NoSQL databases.
• Knowledge in building observability platforms (OTel, Prometheus, Grafana, Loki, Alloy).
• Exposure to technologies like Apache Airflow, Elasticsearch, Docker, GitLab CI/CD, Buildkite, Artifactory is a plus.
• Proactive, self-motivated, detail-oriented, and able to work autonomously.
• Team player with good collaboration and problem-solving skills.
• Good English proficiency (working in an international environment).

Employment Type

Employee

Time Type

Full time

About Us

Get in touch

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