AI Data Engineer

Remote UK, United Kingdom

Kyriba

Discover how Kyriba’s Liquidity Performance Platform connects, protects, forecasts, and optimizes your cash flow, data, and financial strategies.

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It's fun to work in a company where people truly BELIEVE in what they're doing!
 

We're committed to bringing passion and customer focus to the business.

About Us

Kyriba is a global leader in liquidity performance that empowers CFOs, Treasurers and IT leaders to connect, protect, forecast and optimize their liquidity. As a secure and scalable SaaS solution, Kyriba brings intelligence and financial automation that enables companies and banks of all sizes to improve their financial performance and increase operational efficiency. Kyriba’s real-time data and AI-empowered tools empower its 3,000 customers worldwide to quantify exposures, project cash and liquidity, and take action to protect balance sheets, income statements and cash flows. Kyriba manages more than 3.5 billion bank transactions and $15 trillion in payments annually and gives customers complete visibility and actionability, so they can optimize and fully harness liquidity across the enterprise and outperform their business strategy. For more information, visit www.kyriba.com.

About the role

We are seeking a talented AI Data Engineer to join our Innovation Lab, where you will be at the forefront of developing cutting-edge AI and data solutions. You will work on transformative projects, leveraging generative AI and advanced data engineering techniques to solve complex business challenges

Key Tasks:

  • Design and implement scalable data pipelines and workflows in cloud environments

  • Develop and optimize AI and machine learning models, with a focus on generative AI applications

  • Collaborate with cross-functional teams to align data solutions with business needs

  • Research and apply innovative AI techniques to address real-world problems

  • Ensure data quality, security, and governance across all AI and data projects

  • Contribute to the development of AI strategy and showcase potential through early-stage solutions

What We're looking for:

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field

  • Proficiency in Python, SQL, and experience with big data technologies (e.g., Hadoop, Spark)

  • Strong understanding of machine learning algorithms and deep learning frameworks (e.g., TensorFlow, PyTorch)

  • Experience with cloud platforms (AWS, Azure, or GCP) and their AI/ML services

  • Knowledge of data modeling, ETL/ELT processes, and data warehouse design

Join our team and help drive innovation through AI and data engineering excellence!

Why join Kyriba?

We offer you the potential to explore various parts of our business and grow professionally with the company. Opportunity to be part of building something exceptional in an international environment and lots of learning and growth in a globally scaling Saas company! We offer competitive salary + generous benefits plan + stock options available.

Diversity & Inclusion: Kyriba is proud to be an equal opportunity employer. We celebrate diversity and are committed to providing an inclusive environment for all employees.

Our Culture & Values: At Kyriba, we embrace a culture of community and ownership, guided by our “iCare” values:

  • Innovation: Rewarding achievements and fostering continual improvement.

  • Client Success: Understanding and enabling client success.

  • Accountability: Personal responsibility and continuous improvement.

  • Respect: Embracing diverse cultures and open communication.

  • Excellence: Striving for excellence through leadership and integrity.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AI strategy AWS Azure Big Data Computer Science Data pipelines Data quality Data warehouse Deep Learning ELT Engineering ETL GCP Generative AI Hadoop Machine Learning ML models Pipelines Python PyTorch Research Security Spark SQL TensorFlow

Perks/benefits: Career development Competitive pay Equity / stock options Startup environment

Regions: Remote/Anywhere Europe
Country: United Kingdom

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