Data Engineer [211327]

Are you a hands-on data professional ready to make an immediate and significant impact? This is your chance to step into a high-autonomy role, becoming the sole technical owner responsible for maintaining essential data pipelines, analytics infrastructure, and reporting systems. You will directly influence the reliability and accuracy of data that underpins strategic decisions and operational excellence across key global markets. Your pivotal role will involve safeguarding data quality, supporting vital reporting, and executing time-sensitive data requests, ensuring critical financial insights are always available and accurate for continued success.

Your Impact & Responsibilities

• Take ownership of data pipelines, proactively triaging, debugging, and resolving pipeline breaks, tracking gaps, and partner feed issues across diverse data sources.
• Monitor the health, input quality, and freshness of the cloud-based data warehouse to ensure downstream reporting is consistently accurate and reliable.
• Maintain and optimize data modeling and reporting infrastructure within a leading business intelligence platform, providing essential support for various data initiatives and reporting needs.
• Leverage modern AI tools and workflows to innovate and automate day-to-day engineering and operational tasks, enhancing efficiency and reducing manual effort.
• Execute urgent data pulls for critical regulatory returns, privacy data requests, complaint tracking, and marketplace metrics, consistently meeting tight deadlines.
• Monitor baseline revenue pipelines and partner feeds across specific global regions, providing early visibility into unexpected anomalies or tracking gaps to inform timely interventions.
• Maintain comprehensive system documentation and operational procedures, ensuring a smooth and efficient handover at the close of the engagement.

• 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 modeling 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., * Experience using AI developer tools and agentic workflows to automate data engineering tasks.
• Background in Financial Services, FinTech, 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.

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.