Aquent
Data Engineer [AQ-11155]

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Aquent Partnership Opportunity
Aquent is partnering with a leading financial technology company dedicated to empowering individuals and businesses through innovative solutions. This is an incredible opportunity to join a dynamic team and make a significant impact, shaping the future of international applications and directly contributing to cutting-edge AI/ML experiences. You will be instrumental in building and maintaining robust data infrastructure, ensuring seamless operation of platforms at scale within an engineering-focused organization. This role offers broad exposure to a comprehensive technology stack and the chance to contribute to projects that directly influence user experience and operational efficiency.
We are seeking a talented professional to play a pivotal role in our mission to deliver innovative financial technology solutions. This position offers the chance to be at the forefront of data innovation, contributing directly to the intelligence and reliability of our platforms. You will collaborate with cross-functional teams, leveraging your expertise to build scalable data solutions that drive critical business insights and enhance user experiences globally.
What You’ll Do
- Build and maintain scalable data pipelines that support our growing data needs.
- Implement observability and monitoring solutions to enhance reliability, data quality, and robustness across our systems.
- Develop critical data quality checks to ensure compliance with security standards and data governance policies.
- Actively participate in code and technical design reviews, contributing to a culture of engineering excellence.
- Collaborate with product engineering, data science, and business teams on scoping and planning, supporting data tracking, collection, ingestion, quality monitoring, and alerting.
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
What You’ll Bring
- Experience managing batch and/or streaming data pipelines and infrastructure.
- Proficiency in Python, SQL, and shell scripting.
- Experience with containerization and “infrastructure as code” tools.
- Professional experience developing applications in a modern programming environment (preferably Scala/Java and/or Python).
- Professional experience across the entire software development life cycle, from requirements gathering to production deployment using CI/CD.
- Ability to articulate complex technical content to peers and partners via Technical Design Documents.
Nice-to-Have Qualifications
- Experience optimizing complex analytical queries in a data warehousing system.
- Familiarity with data visualization and business intelligence tools.
- Experience with the MLOps life cycle.
- DevOps experience with major cloud platforms.
- Data quality experience, particularly in developing and improving internal tools for automatic issue detection.
About Aquent Talent
Aquent Talent connects the best talent in marketing, creative, and design with the world’s biggest brands.


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Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!
Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
Client Description
Our Client is a global technology platform that specialises in overcoming the world’s most important financial challenges. Their products and services are driven by artificial intelligence, and their accounting software is one of their most recognisable creations. Considered one of the top companies to work for, they are proud of their company culture and entrepreneurial spirit.
Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.
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