Sundayy
Data Engineer, Platform

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About The Company
Dex is a pioneering organization at the forefront of artificial intelligence research and development. Committed to pushing the boundaries of technological innovation, they focus on creating transformative digital environments that enable AI systems to learn through experience rather than static datasets. With a strong emphasis on research, development, and scalable infrastructure, the company fosters a collaborative and dynamic work culture aimed at solving some of the most complex challenges in AI and data engineering. Their mission is to develop intelligent solutions that can adapt, learn, and improve through real-world interactions, thereby shaping the future of AI-driven applications across various industries.
About The Role
We are seeking a highly skilled and experienced individual to join our partner company's Platform team as a Staff or Principal Data Engineer. In this role, you will be responsible for owning the technical direction of critical data infrastructure components. This is a deeply hands-on, individual contributor position that combines advanced software and data engineering with architectural leadership. Your primary focus will be designing and implementing scalable data acquisition, processing, and integration systems for large and complex experiential datasets used in cutting-edge AI environments. You will play a key role in establishing robust, scalable, and secure data pipelines, frameworks, and patterns that enable the wider engineering organization to build reliable and innovative AI solutions. You will also provide mentorship and technical guidance to other engineers, ensuring best practices and high standards across projects.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
- Extensive experience in building and maintaining data-intensive production systems
- Proven track record of defining and evolving data architecture in complex environments
- Strong expertise in distributed processing, storage, and operational reliability
- Hands-on experience with data acquisition, ingestion, processing, and integration techniques
- Familiarity with modern data security, privacy, and sanitization practices
- Ability to lead technical initiatives and influence engineering teams beyond direct implementation
- Excellent debugging skills and a strong instinct for production systems
- Deep understanding of scalable infrastructure design and architectural trade-offs
Responsibilities
- Design and implement scalable, reliable data acquisition, ingestion, and processing pipelines for large experiential datasets
- Develop and evolve core data infrastructure supporting data quality, security, privacy, and sanitization
- Establish reusable data patterns, frameworks, and best practices to enable efficient development across teams
- Identify architectural limitations in existing data systems and lead efforts to transition to more scalable solutions
- Provide hands-on technical leadership, including mentorship, code reviews, and debugging
- Define and implement strategies for data integration, management, and operational excellence
- Collaborate closely with cross-functional teams to align data infrastructure with overall platform goals
- Stay updated with emerging data engineering trends and incorporate them into the platform architecture


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Benefits
- Competitive salary package aligned with experience and expertise
- Flexible work arrangements to support work-life balance
- Comprehensive health, dental, and vision insurance plans
- Opportunities for professional growth and continuous learning
- Access to cutting-edge AI research and development projects
- Collaborative and innovative work environment
- Generous paid time off and holiday leave policies
Equal Opportunity
Dex is an equal opportunity employer. They value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. They believe in fostering a workplace where everyone can thrive and contribute to innovative solutions that shape the future of AI technology.
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