Data Engineer Unified Platform

DRW; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading trading firm in Singapore is seeking a Senior Data Engineer to enhance their data platform. The role involves managing data products, ensuring data quality, and collaborating with teams to optimize data usage. Candidates must have over 5 years of data technology experience, strong SQL skills, and the ability to work efficiently in a trading environment. The firm emphasizes innovation and values productive teamwork.

Qualifications

• 5+ years of experience in modern data technologies or data-first product building.
• Strong written and verbal communication skills are essential.
• Ability to work in a fast-paced, collaborative environment.

Responsibilities

• Model, build, and manage data products on DRW’s Unified Data Platform.
• Determine appropriate data sources and implement onboarding processes.
• Monitor data ingestion pipelines and ensure data quality and stability.

Skills

Data modeling techniques

SQL

Java or Python

Data governance

Data quality control

Agile methodologies

Problem-solving

Tools

Flink

Spark

S3

Kafka

Job description

Overview

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As a Senior Data Engineer on our Data Experience team, you will play an integral role in bringing vendor datasets into our data platform, governing our centralized data pipelines, supporting rapid data product development, and working alongside individual Traders, Quantitative Researchers, and Back-Office personnel to best utilize the firm’s data and platform tools.

What you will do in this role

• 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.

What you will need in this role

• 5+ 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 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, Cassandra, Clickhouse, Kafka, etc.) and knowledge of their associated trade-offs.
• Experience with multiple data formats and serialization systems (e.g. Arrow, Parquet, Protobuf/gRPC, Avro, Thrift, JSON, etc.)
• Proven experience in managing the operational aspects of large data pipelines such as backfilling datasets, rerunning batch jobs, and handling dead-letter queues.
• Prior experience triaging data quality control processes, correcting data gaps and inaccuracies.

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