Data Engineer

at  Next Gate Tech

ABOUT NEXT GATE TECH

At Next Gate Tech, we create technologies that reshape the landscape of the fund industry operations.
We empower our clients by capturing the full potential of harmonised data to drive intelligent and fully automated operations. Our transformative solutions optimise processes, enhance efficiency, reduce risks, and drive cost savings for our clients.
Driven by our commitment to innovation, our intelligence layer extracts invaluable insights, employs advanced pattern analysis spotting anomalies, and uncovers hidden links within the data.
Our modular, one-stop-shop, SaaS platform seamlessly ingests diverse datasets, creating a harmonised and enriched source of portfolios, transactions, and accounting data. This robust foundation fuels the platform to generate powerful signals through intelligent analytics, empowering a multitude of use cases.
Next Gate Tech is not just a part of the industry’s evolution - it is a driving force behind it.

Learn more about us:

• Our story, values, mission and team: https://nextgatetech.com/about
• Our unified platform and technology: https://nextgatetech.com/platform
• Our solutions and use cases: https://nextgatetech.com/

“Hello! I’m Nicolas, the Chief Product Officer at Next Gate Tech, and I’m looking for a passionate Data Engineer with a builder’s mindset to join our team. In this role, you will play a key role in designing, developing, and maintaining our data infrastructure, enabling seamless access to high-quality data and empowering our data processing and AI workloads. You will work alongside a diverse pool of engineers to build scalable data pipelines and innovative solutions to complex challenges.”
Responsibilities include
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Take ownership of the entire data life cycle and collaborate with data scientists, analysts, and other engineers to deliver high-quality data solutions

• Apply the latest advancements on data engineering and databases, including generative AI and vector databases
• Design, develop, and maintain scalable data pipelines for collecting, processing, and storing diverse data sources (structured, semi-structured, and unstructured)
• Build data models to support business decision-making and analytics
• Build and optimize APIs to ensure efficient and reliable data access for internal and external stakeholders
• Implement data quality checks and monitoring systems to maintain data integrity
• Build distributed systems that power large-scale compute workloads

Qualifications
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

• Experience in building large scale distributed data pipelines and processing large-scale datasets
• Hands-on experience with data platforms, integration tools, data warehouses, and analytics in a Cloud environment, preferably Google Cloud
• Data modeling and production experience with SQL, NoSQL, Graph or Vector databases
• Familiarity with AI/ML infrastructure and frameworks is a plus
• Proficiency in Python is a must
• Proficient in RESTful API development and microservices architecture