At a Glance
- Tasks: Own and optimise data pipelines, ensuring data quality and supporting analytics.
- Company: Join a leading fintech company revolutionising financial solutions globally.
- Benefits: Enjoy competitive pay, health benefits, and free online training.
- Other info: Inclusive culture with opportunities for growth and development.
- Why this job: Make a real impact on data integrity and strategic insights in finance.
- Qualifications: Experience in Data Engineering, Python, SQL, and cloud-based systems required.
The predicted salary is between 63000 - 77000 £ per year.
Aquent, a trusted partner, is collaborating with a prominent financial technology company that stands at the forefront of empowering individuals and businesses with innovative financial solutions.
Driven by a mission to revolutionize how people manage their money, this organization is a leader in its field, delivering critical services that impact countless lives.
Join a team where your expertise will directly contribute to robust data integrity and strategic insights across vital international operations, ensuring seamless functionality and critical decision-making.
Are you a hands‑on data professional ready to make an immediate and significant impact?
We are seeking an experienced individual to step into a high‑autonomy role, becoming the sole technical owner responsible for maintaining essential data pipelines, analytics infrastructure, and reporting systems.
This is your chance to directly influence the reliability and accuracy of data that underpins strategic decisions and operational excellence across key global markets.
You will be instrumental in safeguarding data quality, supporting vital reporting, and executing time‑sensitive data requests, playing a pivotal role in the company’s continued success and ensuring critical financial insights are always available and accurate.
Key Responsibilities
- Data
- Pipeline
Operations: Take ownership of data pipelines, proactively triaging, debugging, and resolving pipeline breaks, tracking gaps, and partner feed issues across diverse data sources.
- Data Quality Assurance: Monitor the health, input quality, and freshness of the cloud‑based data warehouse to ensure downstream reporting is consistently accurate and reliable.
- Business Intelligence & Analytics
Support: Maintain and optimize data modeling and reporting infrastructure within a leading business intelligence platform, providing essential support for partner monitoring, offer setups, and click‑report fixes.
- Automation & Efficiency: Leverage modern AI tools and workflows to innovate and automate day‑to‑day engineering and operational tasks, enhancing efficiency and reducing manual effort.
- Regulatory & Compliance
Data: Execute urgent data pulls for critical regulatory returns, privacy data requests, complaint tracking, and marketplace metrics, consistently meeting tight deadlines.
- Performance
Monitoring: Monitor baseline revenue pipelines and partner feeds across specific global regions, providing early visibility into unexpected anomalies or tracking gaps to inform timely interventions.
- Documentation & Knowledge
Transfer: Maintain comprehensive system documentation and operational procedures, ensuring a smooth and efficient handover at the close of the engagement.
- Must-Have Qualifications
- Demonstrated experience in Data Engineering or Analytics Engineering, including running and maintaining production data pipelines and warehousing systems.
- Strong proficiency in Python and SQL for codebase maintenance, scripting, and pipeline troubleshooting.
- Hands‑on experience with a cloud‑based data warehouse and data warehouse architecture.
- Hands‑on experience with a leading data visualization and reporting platform for data modelling and reporting infrastructure.
- Proven track record of managing operational “business as usual” (BAU) workflows independently with low supervision and high reliability against hard deadlines.
- Excellent written and verbal communication skills, with the ability to translate complex technical data issues for non‑technical stakeholders.
- Nice‑to‑Have Qualifications
- Experience using AI developer tools and agentic workflows to automate data engineering tasks.
- Background in Financial Services, Fin Tech, or Technology environments.
- Prior experience handling critical regulatory reporting, privacy data requests, or financial compliance returns.
- Track record of stepping into existing codebases and delivering against fixed timelines in a contract or consulting capacity.
- About Aquent Talent
Aquent Talent connects the best talent in marketing, creative, and design with the world’s biggest brands.
- 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, colour, 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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Data Engineer [AQ-14316] employer: Aquent
Aquent is an exceptional employer, offering a dynamic work culture that fosters innovation and inclusivity within the financial technology sector. Employees benefit from comprehensive health plans, paid leave, and access to free online training, all while working in a high-autonomy role that allows for significant personal and professional growth. Join a team where your contributions directly impact global operations and help shape the future of financial solutions.
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We think this is how you could land Data Engineer [AQ-14316]
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We think you need these skills to ace Data Engineer [AQ-14316]
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