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For Companies At a Glance
- Tasks: Join our Data team to build tools for data management and monitoring.
- Company: QRT is a dynamic company focused on data integrity and trading success.
- Benefits: Enjoy flexible work options, a supportive culture, and initiatives for work-life balance.
- Why this job: Be part of a mission-critical platform that impacts trading and data quality.
- Qualifications: 5+ years in data engineering, strong Python skills, and experience with orchestration frameworks.
- Other info: We value diversity and encourage a collaborative environment for all employees.
The predicted salary is between 43200 - 72000 £ per year.
Join our Data team to architect and build the tools used to create new data-sources and monitor key production systems. This role offers hands-on exposure to the core datasets used by QRT, and will partner closely with other technology teams, quants, and traders, building systems that guarantee the integrity of our data and avoid trading losses.
Your future role within QRT
We are looking for a hands-on Data Engineer to join QRT. In this role you will build out the tooling that manages and monitors production datasets, keeping them flowing, observable, and reliable. You will work closely with other engineering teams and business stakeholders to deliver a mission-critical platform.
Data Quality Tools
Your key deliverable is to develop and maintain a platform which ensures the quality of our data-pipelines, and alerts stakeholders to critical production issues.
Library Maintenance
Maintain and improve shared libraries which are used by developers across the data-function and facilitate the rapid onboarding of new datasets.
Cross-team Integrations
Design, build, and document our integrations with other team’s processes, which alert them to relevant issues with our data-pipelines.
Observability & Monitoring
Build out the observability stack (logs, metrics, tracing) to monitor our data assurance system, as well as other tools for the management of our data-pipeline lifecycle.
Platform Support
Support users in best practice usage of our tooling, migrate code to the latest standards as well as investigate, debug and resolve issues with our platform.
Your present skillset
- 5+ years of hands-on experience in data engineering or data-adjacent engineering roles
- Strong software engineering fundamentals and proficiency in Python
- Experience with workflow orchestration frameworks (e.g. Argo, Celery, Airflow)
- Experience designing and implementing RESTful APIs and internal service integrations
- Experience with observability tools (e.g. Prometheus, Grafana, CloudWatch)
- Familiarity with Kubernetes, container orchestration, and cloud infrastructure (AWS preferred)
- Exposure to the front-end, particularly with regards to custom monitoring dashboards, is a plus
- Knowledge of data-quality frameworks (Soda/Great Expectations) is a plus
- Knowledge of ETL/ELT pipelines, and metadata management is a plus
- Excellent communication skills and a collaborative mindset to work effectively with other engineers, quants and traders
- Self-starter mentality with the ability to work autonomously within a globally distributed team
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.
Data Engineer - Tooling employer: Qube Research & Technologies
Contact Detail:
Qube Research & Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Tooling
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, workflow orchestration frameworks like Airflow, and observability tools like Grafana. Having hands-on experience or projects showcasing these skills can set you apart.
✨Tip Number 2
Network with current employees or professionals in similar roles on platforms like LinkedIn. Engaging in conversations about their experiences at QRT can provide valuable insights and potentially give you a referral.
✨Tip Number 3
Prepare to discuss your past projects that demonstrate your ability to build and maintain data pipelines. Be ready to explain how you ensured data quality and resolved issues, as this aligns closely with the responsibilities of the role.
✨Tip Number 4
Showcase your collaborative mindset by preparing examples of how you've worked with diverse teams in the past. Highlighting your communication skills and ability to work autonomously will resonate well with the team-oriented culture at QRT.
We think you need these skills to ace Data Engineer - Tooling
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with tools and technologies mentioned in the job description, such as Python, workflow orchestration frameworks, and observability tools.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and how your skills align with the responsibilities outlined. Mention specific projects or experiences that demonstrate your ability to build and maintain data pipelines.
Showcase Collaboration Skills: Since the role involves working closely with various teams, emphasise your collaborative mindset and provide examples of how you've successfully worked with diverse stakeholders in past projects.
Highlight Problem-Solving Abilities: Discuss instances where you've identified and resolved issues within data systems or pipelines. This will showcase your proactive approach and self-starter mentality, which are crucial for this position.
How to prepare for a job interview at Qube Research & Technologies
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with data engineering tools and frameworks. Highlight your proficiency in Python, workflow orchestration frameworks like Airflow, and any observability tools you've used, such as Prometheus or Grafana.
✨Demonstrate Collaboration
Since this role involves working closely with various teams, be ready to share examples of how you've successfully collaborated with stakeholders in the past. Emphasise your communication skills and your ability to turn requirements into production-grade systems.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially related to data quality and pipeline management. Think of specific challenges you've faced and how you resolved them, particularly in maintaining data integrity and monitoring production systems.
✨Understand the Company’s Data Needs
Research QRT's data operations and understand their key datasets. Familiarise yourself with their mission-critical platforms and think about how your skills can contribute to improving their data pipelines and tooling.
