Data Engineer at Sidetrade- United Kingdom(Hybrid)

Job Description

About Sidetrade and its amazing R&D team

Sidetrade is a fast-growing international software company that is transforming the Order-to-Cash process for global enterprises. Its AI-powered SaaS platform digitizes the financial customer journey, empowering CFOs to secure and accelerate cash flow generation. Recognized as a Leader in Gartner’s Magic Quadrant for two consecutive years, Sidetrade fosters a culture of innovation, collaboration, and customer-centricity from its headquarters in Europe and North America.

The R&D team comprises experienced tech professionals who share a deep passion for technology. Together, they are dedicated to developing cutting-edge software solutions that drive the transformation of our customers’ work processes. We provide comprehensive training, coaching, resources, and mentorship to empower every team member’s growth and nurture their success.

Requirements

We are seeking a passionate and knowledgeable Data Engineer with a multifaceted skill set. Immerse yourself in the exhilarating world of high-volume data & AI within our cutting-edge tech environment. Collaborate with like-minded individuals, embracing the latest tools, techniques, and technologies. Fuel your professional growth and innovation within our agile development ecosystem.

As a key member of our development team, you will:

• Design, build, and maintain scalable and efficient data pipelines. Data is at the heart of everything we do. The pipelines you build will power our analytics, machine learning and product features
• Enhance our Data Lake and Data Warehouse to enable informed decision-making through data-driven insights
• Develop highly efficient and well-tuned data platforms and products to ensure top performance, scalability, and reliability
• Stay up to date with data engineering trends, recommending and implementing new technologies and tools to enhance data processing capabilities
• Ensure unit tests have sufficient coverage and that code analysis is green
• Support implementation of secure design principles according to policies and standards of Information Security

You’ll have most of the following key skills and experience:

• At least 3 years experience in Data Engineering or Software Engineering roles
• Excellent knowledge of SQL and Python
• Experience with API development using Python frameworks such as FastAPI
• Expertise in implementing programming best practices and principles
  Proficient in relational and NoSQL databases
• Experience with event streaming technologies such as Kafka
• Experience developing and supporting robust, automated and reliable data pipelines
• Familiarity with data modeling techniques and data visualization tools
• Attention to Detail: The success of downstream analytics, machine learning, and product features heavily relies on the integrity and quality of data
• Sound knowledge of data architecture, scalability and security/compliance