Data Engineer

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HubSpot

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

🤝 B2B

☁️ SaaS

B2B • SaaS • Marketing

HubSpot is an AI-powered customer platform that combines marketing, sales, and customer service software into one integrated suite. With over 238,000 customers in 135 countries, HubSpot offers tools for marketing automation, sales management, customer service, content marketing, operations, and B2B commerce. With products like Marketing Hub, Sales Hub, Service Hub, and Content Hub, HubSpot enables businesses to generate leads, close deals, and provide excellent customer support, all while using AI to enhance operations and insights. The platform is designed to unify teams and customer data, supporting both small startups and large enterprises in their growth journey.

📋 Description

• Design, develop, test, and maintain data solutions, applications, and data pipelines. • Participate in Agile ceremonies, backlog grooming, sprint planning, and prioritisation activities. • Contribute to the design, implementation, and maintenance of scalable, secure, compliant, and reliable data architectures. • Collaborate with data scientists, analysts, software engineers, and business stakeholders to deliver data-driven solutions. • Monitor data platform performance and implement improvements to optimise efficiency and reduce latency. • Actively ensure data quality, reliability, and operational excellence across data systems. • Evaluate and support the adoption of new data technologies, tools, and architectural approaches. • Help shape and execute the vision for Business Intelligence and Data Warehousing across the organisation. • Build cross-functional relationships with Data Scientists, Product Managers, Software Engineers, and business stakeholders to understand and meet data needs. • Promote best practices in data engineering and foster a culture of continuous improvement. • Participate in strategic planning for data initiatives, helping define objectives and execution roadmaps. • Communicate complex technical concepts and project progress to both technical and non-technical audiences. • Mentor and support team members where appropriate. • Foster a collaborative team culture built on transparency, accountability, and growth.

🎯 Requirements

• Commercial experience with Python • Strong SQL skills (any major SQL dialect) • Experience using Git for source control and version management • Experience working within Agile/Scrum environments • Hands-on experience with AWS services • Understanding of AWS security best practices for data-related products • Experience containerising applications using Docker • Experience developing and maintaining data pipelines • Understanding of data quality, data governance, and data engineering best practices • Good understanding of the software development lifecycle (SDLC) • Strong analytical and problem-solving skills • Excellent communication and stakeholder management skills

🏖️ Benefits

• Flexible working hours • Professional development opportunities