Data Engineer

3 мес. назад

United KingdomEuropeJunior

data engineeringquantitative analysisstatistical inferencedata infrastructure

Data Engineer role focusing on building and maintaining data infrastructure for quantitative research and trading strategies at a financial investment company.

Обязанности

Evaluating, onboarding, and integrating complex data products from diverse vendors, serving as a key technical liaison to ensure data feeds meet our stringent requirements for research and live trading.
Designing, implementing, and optimizing robust, production-grade data pipelines to transform raw vendor data into analysis-ready datasets, adhering to software engineering best practices and ensuring seamless consumption by our automated trading systems.
Engineering and maintaining sophisticated automated validation frameworks to guarantee the accuracy, timeliness, and integrity of all datasets, directly upholding the quality standards essential for the efficacy of our quantitative strategies.
Providing expert operational support for our data pipelines, rapidly diagnosing and resolving critical issues to ensure the uninterrupted flow of high-availability data powering our daily trading activities.
Participating actively in team rotations, including on-call schedules, to provide essential coverage and maintain the resilience of our data systems outside of standard business hours.

Требования

1+ years’ experience building ETL/ELT pipelines using Python
Familiarity with various technologies such as S3, Kafka, Airflow, Iceberg. 
A commitment to engineering excellence and pragmatic technology solutions.
A desire to work in an operational role at the heart of a dynamic data-centric enterprise.
Excellent communication and collaboration skills, and the ability to work in a team.

Другое

is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, today manages assets for some of the world’s largest institutional investors.
We employ ambitious professionals who want to work collaboratively at the leading edge of investment management.
leverages quantitative analysis and cutting-edge technology to identify and capitalize on opportunities across global financial markets. We foster a collaborative and intellectually stimulating environment, bringing together individuals with Mathematics, Physics and Computer Science backgrounds who are passionate about applying rigorous scientific methods to financial challenges. As a fundamentally data-driven business, our success is heavily linked to the acquisition, processing, and analysis of vast datasets. High-quality, well-managed data forms the critical foundation for our quantitative research, strategy development, and automated trading systems.   As a Data Engineer within our Quantitative Platform team, you will play a pivotal role in building and maintaining the data
Strong understanding of financial markets.
Proficiency working with large financial datasets from various vendors.
Experience working with hierarchical reference data models.
Proven expertise in handling high-throughput, real-time market data streams
Familiarity with distributed computing frameworks such as Apache Spark
Operational experience supporting real time system
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.