Senior Data Engineer

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🕒 January 23

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Logo of Technopride

Technopride

1 - 10 employees

🤝 B2B

🤖 Artificial Intelligence

🏢 Enterprise

B2B • Artificial Intelligence • Enterprise

Technopride is a London-based IT consulting and professional services firm that delivers end-to-end digital solutions for clients across the UK and EU. The company provides application development and services, data & analytics, and AI/ML technologies, and supplies skilled technical talent for digital transformation projects. Technopride focuses on quality, speed and client satisfaction while acting as an extended technology team for enterprise and business customers.

📋 Description

• Reporting to a Technical Lead, this role plays a critical part in supporting the Data Ingestion team and both Business and Technical Product Owners. • Contribute to the expansion and adoption of data products across multiple service lines, products, functions, and delivery teams. • Collaborate with stakeholders to identify and ideate opportunities for continuous improvement of data assets and the services provided to data consumers. • Participate in design and development sessions to enhance data asset creation and ingestion pipelines, with a strong focus on stability, performance optimization, and traceability. • Design, develop, test, and maintain data ingestion pipelines and supporting processes. • Build resilient, fault-tolerant, and modular code to ensure data pipelines and services are robust, scalable, and highly available. • Research, evaluate, and implement new tools, methods, and processes to enable the creation of high-quality, enterprise-grade data products and services. • Actively collaborate across teams to ensure seamless transitions between data ingestion, consumption, and activation stages. • Contribute to documentation, reporting, and knowledge sharing to support long-term platform sustainability.

🎯 Requirements

• 5+ years of experience • Strong experience in designing and developing data ingestion and processing solutions, including near real-time data pipelines. • Proven ability to write clean, modular, and maintainable code with a focus on reliability and performance. • Experience working with distributed systems, data pipelines, and modern data platforms. • Strong collaboration skills with the ability to work effectively across technical and non-technical teams. • Analytical mindset with a passion for continuous improvement and problem-solving. • Comfortable working in agile or product-oriented delivery environments.

🏖️ Benefits

• Remote working

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