Data Engineer

Your Role

The Engineer develops technology capabilities and services that Product teams use to build customer-facing solutions, expediting the delivery of technology-enabled value to the Business. They develop and/or configure technologies to meet technical requirements and architecture, whilst ensuring the services they build are robust, maintainable, reusable, and highly scalable.

Main Responsibilities

• Configures, develops, builds, tests, and releases technology solutions and services that meet technical requirements and architectures, contributing to the creation of valuable Product increments.
• Develops and/or configures relevant technologies and architectural components (e.g., MuleSoft, Azure Platform, SAP BW, Apigee, Data Bricks, Snowflake, Red Hat).
• Collaborates with the wider Product and Platform teams (e.g., Product Owner, Platform Owner, Platform Architect) to ideate software and hardware solutions that are aligned with engineering best practices.
• Manages and resolves defects and escalated issues within technology solutions and services.
• Delivers high-quality and secure code that is compliant with relevant technical and security standards.
• Actively identifies and resolves technical debt, under guidance from the Product Owner and Product Architect.
• Documents delivered solutions and services, supporting long-term service maintainability.
• Where possible, follows Agile methodologies and principles to efficiently design, develop, release, and iterate technical services (e.g., Kanban).
• Drives a culture of continuous improvement, focussed on enhancing Platform stability and performance.
• Fulfils routine Product service requests (e.g., access provisioning, solution insights)
  
  

• Proven track record of delivering high-quality, secure technology changes that meet complex technical requirements and architectures.
• Experienced in end-to-end testing to ensure delivered solutions/services are scalable, maintainable, and meet user needs.
• Demonstrable experience developing and/or configuring relevant data, integration, and other relevant technologies (e.g. Azure Data Platform).
• Demonstrable experience with DevOps tooling to automate development and deployment processes desirable (e.g., Jenkins, Ansible, Puppet).
• Strong knowledge of software engineering, information risk, security protocols, and architectural standards.
• Hands-on experience in relevant programming and scripting languages (e.g., Java, Python, PHP, .NET), and other frameworks to deliver change.
• Deep engineering expertise in one or more technical domains (e.g., data engineering, integrations, Cloud), demonstrated with relevant technical certifications where applicable (e.g., AWS Solution Architect).
• Experience working in Agile and Waterfall development environments.
  
  

• Plenty of opportunities to grow and develop.
• A culture known for respectful interaction, ethical behavior and integrity.
• Potential to see your ideas realized and to make an impact.
• New challenges and new things to learn every day.
• Access to global job opportunities, as part of the Atlas Copco Group.
• An excellent remuneration package
• Support for maintaining a healthy work-life balance, including vacation, personal, and sick time.