Who You&aposll Work With
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we&aposll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleaguesat all levelswill invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you&aposll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you wont find anywhere else.
When you join us, you will have:
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. Youll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firms diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, youll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
Your Impact
You will work on real-world, high-impact projects across a variety of industries. You will have the opportunity to collaborate with QB/Labs teams and build complex and innovative ML systems to accelerate our work in AI and help solve business problems at speed and scale.
You will experience the best environment to grow as a technologist and a leader. You will develop a sought-after perspective connecting technology and business value by working on real-life problems across a variety of industries and technical challenges to serve our clients on their changing needs.
You will be surrounded by inspiring individuals as part of diverse and multidisciplinary teams. You will develop a holistic perspective of AI by partnering with the best design, technical, and business talent in the world as your team members.
While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more.
As a Senior Data Engineer, you will:
- Own the technical platform for advanced analytics engagements, spanning data science and data engineering work
- Design and build data pipelines for machine learning that are robust, modular, scalable, deployable, reproducible, and versioned
- Create and manage data environments and ensure information security standards are maintained at all times
- Own and be accountable for the delivery of technical work streams while also mentoring and guiding more junior colleagues
- Apply knowledge about clients data landscape and assess data quality
- Design and build GenAI applications (RAG, Agentic AI, etc) collaboratively with data scientists
- Have the opportunity to contribute to R&D projects and internal asset development
- Contribute to cross-functional problem-solving sessions with your team and our clients, from data owners and users to C-level executives, to address their needs and build impactful analytics solutions
You will be part of our global Data Engineering community and you will work in cross-functional Agile project teams alongside Data Scientists, Machine Learning Engineers, other Data Engineers, Project Managers, and industry experts.
You will work hand-in-hand with our clients, from data owners, users, and fellow engineers to C-level executives.
Your Qualifications and Skills
- Degree in computer science, engineering, mathematics, or equivalent experience
- 5+ years of relevant professional experience
- Ability to write clean, maintainable, scalable and robust code in an object-oriented language, e.g., Python, Scala, Java, in a professional setting
- Proven experience building data pipelines in production for advanced analytics use cases
- Experience working across structured, semi-structured and unstructured data
- Practical knowledge of software engineering concepts and best practices
- Ability to scope projects, define workstreams, and effectively lead and mentor more junior colleagues
- Familiarity with distributed computing frameworks (e.g. Spark, Dask), cloud platforms (e.g. AWS, Azure, GCP), containerization, and analytics libraries (e.g. pandas, NumPy, matplotlib)
- Commercial client-facing or senior stakeholder management experience
