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- Tasks: Transform raw data into structured formats and build scalable data pipelines.
- Company: Qube Research & Technologies is a global leader in quantitative investment management.
- Benefits: Enjoy flexible work options, a collaborative culture, and initiatives for work-life balance.
- Why this job: Join a tech-driven team that empowers data-driven decisions and fosters innovation.
- Qualifications: 3-5 years in data applications, strong Python skills, and AWS experience required.
- Other info: Diversity is celebrated here; we value open communication and collective success.
The predicted salary is between 43200 - 72000 £ per year.
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:
As an Analytics Engineer in the HR Technology team, you will play a critical role in building and maintaining data infrastructure to support HR insights and analytics. You will focus on transforming raw data into structured formats, ensuring data is clean, accessible, and ready for use – bridging the gap between technical and business teams. You will collaborate with multiple business areas to deliver high quality data-driven analytics that empower managers, business partners and senior leaders in their roles.
- Build and maintain scalable, secure data pipelines across platforms using AWS tools like S3, RDS and Redshift.
- Ensure accuracy through regular testing, monitoring, and troubleshooting to enable smooth data flow.
- Centralise data from sources like Workday and Greenhouse into warehouses for BI tools
- Use Python and other tools to automate and optimise data workflows for seamless operations.
- Partner with HR, analytics engineers, and leadership to deliver actionable insights, ensuring alignment between technical capabilities and business requirements.
- Support interactive BI dashboards (e.g. Python Dash, PowerBI, Tableau etc) that empower data-driven decisions.
- Create documentation and set documentation standards for data assets & products: ETL documentation, metric glossary.
- Uphold data security and compliance with best practices for access control.
- Document data pipelines, models, and transformations to support transparency, reproducibility, and scalability.
Your present skillset:
- 3-5 years of relevant experience developing data-driven applications, ideally related to Talent/HR Analytics.
- Strong proficiency in Python for building data pipelines, writing automation scripts and handling large datasets.
- Experience with cloud platforms, especially AWS (S3, RDS, Redshift) for building data storage and processing solutions.
- Experience using ETL tools to build and automate scalable data workflows.
- Strong understanding of data modelling concepts, metrics and semantic layers and their application in BI environments.
- Experience working with HR data and platforms like Workday, as well as an understanding of HR metrics and KPIs (e.g., retention, engagement, performance) is a plus!
- Some front-end skills in JavaScript, HTML, CSS, with experience using libraries like React, Bootstrap, or similar
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. #J-18808-Ljbffr
HR Analytics & Data Engineer employer: Qube Research & Technologies
Contact Detail:
Qube Research & Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HR Analytics & Data Engineer
✨Tip Number 1
Familiarise yourself with AWS tools like S3, RDS, and Redshift. Understanding how these platforms work will not only help you in interviews but also demonstrate your readiness to hit the ground running in the role.
✨Tip Number 2
Brush up on your Python skills, especially in building data pipelines and automation scripts. Being able to showcase your proficiency in Python during discussions can set you apart from other candidates.
✨Tip Number 3
Gain a solid understanding of HR metrics and KPIs, such as retention and engagement. This knowledge will allow you to speak confidently about how your technical skills can directly impact HR analytics.
✨Tip Number 4
Prepare to discuss your experience with ETL tools and data modelling concepts. Being able to articulate your past projects and how they relate to the job will show your potential value to the team.
We think you need these skills to ace HR Analytics & Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the HR Analytics & Data Engineer position at Qube Research & Technologies. Tailor your application to highlight relevant experiences that align with their needs.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 3-5 years of experience in developing data-driven applications, particularly in Talent/HR Analytics. Mention specific projects where you've built data pipelines or worked with AWS tools like S3, RDS, and Redshift.
Showcase Technical Skills: Make sure to detail your proficiency in Python and any experience with ETL tools. If you have front-end skills in JavaScript, HTML, or CSS, include those as well, especially if you've used libraries like React or Bootstrap.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your understanding of QRT's culture of innovation and collaboration. Explain how your skills can contribute to their mission of delivering high-quality returns for investors.
How to prepare for a job interview at Qube Research & Technologies
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, AWS, and ETL tools in detail. Highlight specific projects where you've built data pipelines or automated workflows, as this will demonstrate your hands-on expertise.
✨Understand HR Metrics
Familiarise yourself with key HR metrics and KPIs such as retention, engagement, and performance. Being able to discuss how these metrics can be influenced by data analytics will show your understanding of the role's impact on the business.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Prepare examples of how you've tackled challenges in data management or analytics, particularly in a collaborative environment, as teamwork is crucial in this role.
✨Ask Insightful Questions
At the end of the interview, ask questions that reflect your interest in QRT's culture and their approach to data-driven decision-making. This shows that you are not only interested in the position but also in how you can contribute to their goals.
