Qube Research & Technologies

Senior Data Engineer

Posted 5 Days Ago

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Amsterdam, NLD

In-Office

Senior level

Financial Services

The Role

Design, build, and operate a scalable data platform for quantitative research and backtesting. Develop production-grade Python applications to ingest, process, validate, and distribute market and reference data. Build automated data pipelines (Airflow, AWS Batch), ensure data quality and observability, and collaborate with researchers, software, and infrastructure teams to accelerate dataset onboarding and research workflows.

Summary Generated by Built In

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT:

Design, build, and operate the data platform powering quantitative research and backtesting.
Develop production-grade Python applications to acquire, process, validate, and distribute market and reference data.
Build and operate scalable, automated data pipelines using technologies such as Apache Airflow and AWS Batch across AWS and QRT's compute infrastructure.
Ensure data quality, validation, reconciliation, and observability across critical production pipelines.
Design systems that efficiently process large-scale datasets while supporting compute-intensive research workloads.
Collaborate closely with quantitative researchers, software engineers, and infrastructure teams to accelerate dataset onboarding and improve research productivity.
Drive engineering best practices with a strong focus on software quality, automation, scalability, and operational excellence.

Your present skillset:

5+ years of experience building production-grade data platforms or large-scale data processing systems.
Strong Python software engineering experience.
Hands-on experience with Apache Airflow or similar workflow orchestration platforms.
Experience with AWS services including S3, EC2, AWS Batch, IAM, CloudWatch, and cloud SDKs.
Strong understanding of data quality, validation, testing, monitoring, and observability.
Good understanding of distributed data processing concepts.
Strong Linux skills and experience developing and supporting production systems.
Excellent problem-solving skills with the ability to collaborate effectively across research, engineering, and infrastructure teams.

Nice to have:

Experience working with market or financial data.
Knowledge of non-equity asset classes (e.g. futures, fixed income, commodities, FX).
C++ development experience.
SQL proficiency.
Experience with Docker, Kubernetes, and Infrastructure-as-Code (Terraform or CloudFormation).
Familiarity with Apache Parquet, Apache Arrow, or distributed processing frameworks such as Spark, Ray, or Dask.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Skills Required

5+ years experience building production-grade data platforms or large-scale data processing systems.
Strong Python software engineering experience.
Hands-on experience with Apache Airflow or similar workflow orchestration platforms.
Experience with AWS services including S3, EC2, AWS Batch, IAM, CloudWatch, and cloud SDKs.
Strong understanding of data quality, validation, testing, monitoring, and observability.
Good understanding of distributed data processing concepts.
Strong Linux skills and experience developing and supporting production systems.
Excellent problem-solving skills and ability to collaborate across research, engineering, and infrastructure teams.
Experience working with market or financial data.
Knowledge of non-equity asset classes (futures, fixed income, commodities, FX).
C++ development experience.
SQL proficiency.
Experience with Docker, Kubernetes, and Infrastructure-as-Code (Terraform or CloudFormation).
Familiarity with Apache Parquet, Apache Arrow, or distributed processing frameworks such as Spark, Ray, or Dask.

Qube Research & Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qube Research & Technologies and has not been reviewed or approved by Qube Research & Technologies.

Wellbeing & Lifestyle Benefits — Office amenities such as free meals, social events, and wellness-focused workspaces are highlighted in multiple locations. Cycle-to-work schemes and onsite classes in Europe further enhance day-to-day quality of life.
Leave & Time Off Breadth — Two paid volunteer days and corporate donation matching were introduced firmwide. Some locations also cite generous annual leave allowances with options to buy additional days.
Healthcare Strength — Private medical coverage and life insurance are called out for the UK. Job listings reference health insurance in various regions, though specifics differ by office.