Nucleus
Nucleus is a global service provider specializing in international business support. They offer a comprehensive range of services including accounting, bookkeeping, payroll, compliance, and human resources. Nucleus supports foreign operations through an integrated solution platform, addressing legal issues such as corporate governance, data privacy, and corporate taxes. The company aims to streamline international business operations by offering solutions that mitigate risks and ensure compliance with dynamic regulations across various countries.
Entity Setup • HR • Payroll • Accounting • Tax
Data Engineer
October 17, 2024
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
Nucleus
Nucleus is a global service provider specializing in international business support. They offer a comprehensive range of services including accounting, bookkeeping, payroll, compliance, and human resources. Nucleus supports foreign operations through an integrated solution platform, addressing legal issues such as corporate governance, data privacy, and corporate taxes. The company aims to streamline international business operations by offering solutions that mitigate risks and ensure compliance with dynamic regulations across various countries.
Entity Setup • HR • Payroll • Accounting • Tax
📋 Description
• Build scalable and efficient data pipelines. • Design the Data Architecture to process complex data from various sources. • Build and maintain the CI/CD infrastructure to host and run data pipelines. • Build and maintain data APIs. • Setup, support, and maintain AI components including generative and machine learning models. • Build mechanisms for monitoring data quality accuracy to ensure reliability and integrity of data. • Evaluate and make technical decisions on the most suitable data technology based on business needs. • Collaborate with Data Scientists, Data Analysts, Software development, and other stakeholders to understand data requirements. • Monitor and optimise performance of data systems, troubleshoot issues, and implement solutions to improve efficiency and reliability.
🎯 Requirements
• A strong proficiency in Python • Experience working with Generative AI models, their deployment and orchestration. • A solid understanding of database technologies and modelling techniques, including relational databases, NoSQL databases • Experience with setting and managing Databricks environments • Competent working with Spark • Solid understanding of data warehousing modelling techniques • Competent with setting up CI/CD / Devops pipelines. • Experience with the cloud platforms Azure and AWS and their associated data technologies • Experience and understand of graph technologies and modelling techniques is desirable • Experience of GCP, Scala desirable • Excellent communication skills, capable of explaining complex data/technical concepts to stakeholders with varying levels of technical awareness. • Ability to work collaboratively.
🏖️ Benefits
• Private medical insurance • Company pension • Dynamic working • Friendly and informal working environment • Excellent opportunities for career and personal development
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