Data Engineer, Unified Platform at DRW

London, England, United Kingdom

DRW Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, TradingIndustries

Requirements

  • 3+ years of experience working with modern data technologies and/or building data-first products
  • Excellent written and verbal communication skills
  • Proven ability to work in a collaborative, agile, and fast-paced environment, prioritizing multiple tasks and projects, and efficiently handle the demands of a trading environment
  • Proven ability to deliver rapid results within processes that span multiple stakeholders
  • Strong technical problem-solving skills
  • Extensive familiarity with SQL and Java or Python, with a proven ability to develop and deliver maintainable data transformations for production data pipelines
  • Experience designing and building data pipelines
  • Experience working within modern batch or streaming data ecosystems
  • Experience leveraging data modeling techniques and ability to articulate the trade-offs of different approaches
  • Experience with one or more data processing technologies (e.g. Flink, Spark, Polars, Dask, etc.)
  • Experience with multiple data storage technologies (e.g. S3, RDBMS, NoSQL, Delta/Iceberg)
  • Able to own the delivery of data products, working with analysts and stakeholders to understand requirements and implement solutions
  • Able to contribute to project management and project reporting

Responsibilities

  • Help model, build, and manage data products built atop DRW’s Unified Data Platform
  • Work closely with Data Strategists to determine appropriate data sources and implement processes to onboard and manage new data sources for trading, research, and back-office purposes
  • Contribute to data governance processes that enable discovery, cost-sharing, usage tracking, access controls, and quality control of datasets to address the needs of DRW trading teams and strategies
  • Continually monitor data ingestion pipelines and data quality to ensure stability, reliability, and quality of the data. Contribute to the monitoring and quality control software and processes
  • Own the technical aspects of vendor ingestion pipelines, coordinating with vendor relationship managers on upcoming changes, performing routine data operations without breaking internal users, and contributing to the team’s on-call rotation to respond to unanticipated changes
  • Rapidly respond to user requests, identifying platform gaps and self-service opportunities that make the user experience more efficient

Skills

SQL
Java
Python
data pipelines
data modeling
batch processing
streaming data

DRW

Proprietary trading and risk management firm

About DRW

RGM Advisors engages in proprietary trading using its own capital to operate in various financial markets. The firm focuses on developing trading strategies that utilize advanced technology and data analytics to manage risk and pursue high returns. By serving institutional clients such as hedge funds and investment banks, RGM Advisors maintains a flexible business model that allows it to trade its own money, rather than clients' funds. This approach enables better risk management and the ability to generate revenue through trading profits, achieved by employing sophisticated algorithms and market-making strategies. RGM Advisors is distinguished by its global presence and its commitment to attracting top talent, providing them with the tools needed to excel and rewarding exceptional performance.

Chicago, IllinoisHeadquarters
2001Year Founded
M_AND_ACompany Stage
Quantitative Finance, Financial ServicesIndustries
1,001-5,000Employees

Benefits

Daily catered breakfast & lunch
Massages
Social events
Gym subsidy
Flexible work arrangements
Monthly tastings
Game room
On-site yoga classes and meditation
Employee led affinity groups
Mentor/mentee outings
Trivia nights
Educational opportunities
DRW-sponsored sports teams
Poker tournament
Private mother's suite

Risks

Increased competition from algorithmic trading firms may erode DRW's market share.
Cryptocurrency market volatility poses risks to DRW's crypto-assets strategy.
Talent war in tech and finance sectors may impact DRW's ability to retain top talent.

Differentiation

DRW combines technology, research, and risk management for diversified trading opportunities.
They operate using their own capital, allowing quick pivots to capture opportunities.
DRW has expanded into real estate, venture capital, and crypto-assets.

Upsides

Machine learning algorithms enhance predictive accuracy and risk management in trading.
DeFi platforms offer new opportunities for higher returns in crypto-assets.
Quantum computing revolutionizes trading strategies with faster, complex data analysis.

Land your dream remote job 3x faster with AI