Data Engineer

Templeton & Partners - Innovative & Inclusive Hiring Solutions; Houston (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Templeton & Partners - Innovative & Inclusive Hiring Solutions in Houston seeks a Senior Data Platform Engineer to design and build modern data platforms that support critical operations in energy and logistics. You will own data pipelines and platform components, working independently to manage priorities and deliver reliable, scalable solutions.

You will apply Azure and Databricks expertise, governance know-how, and AI-assisted coding to optimize data flows, integrate data across systems, and

Qualifications

• Hands-on experience with Microsoft Azure, particularly cloud-based data and integration services.
• Strong experience with Databricks, including data engineering, pipeline development, or platform implementation.
• Knowledge of enterprise architecture principles, integration patterns, data architecture, governance, security, and technology standards.
• Experience using AI-based or AI-assisted coding tools to develop, automate, optimize, or refactor code and data pipelines.
• Strong understanding of application, data, and infrastructure design.
• Experience working across multiple IT systems or technology domains.
• Excellent communication and stakeholder-management skills.
• Ability to work independently, determine priorities, and make informed technical decisions.
• Experience providing technical support and guidance to experienced colleagues and project teams.
• Experience working in the energy, logistics, transportation, shipping, trading, or supply-chain sectors.
• Experience with enterprise platform modernisation or legacy-system replacement programmes.
• Knowledge of master data management and data governance.
• Experience supporting business-critical operational platforms.
• Familiarity with DevOps, CI/CD, infrastructure-as-code, and agile delivery practices.
• Experience integrating data across complex enterprise technology ecosystems.

Responsibilities

• Design and develop moderately complex applications, data platforms, and infrastructure using Azure and Databricks.
• Build, enhance, and automate data pipelines to support enterprise-scale business processes.
• Use AI-assisted development techniques to accelerate pipeline creation, improve code quality, and optimize technical solutions.
• Act as a Subject Matter Expert across multiple systems, domains, and project workstreams.
• Provide functional and technical guidance to colleagues and project teams.
• Collaborate with business stakeholders, architects, developers, and data specialists to understand requirements and deliver effective solutions.
• Identify opportunities to improve applications, infrastructure, data processes, and development practices.
• Advise on the optimal use of cloud services, data technologies, and enterprise platforms.
• Contribute to functional and technical design activities, ensuring solutions are scalable, secure, maintainable, and aligned with enterprise standards.
• Support data integration, master data, governance, and information management initiatives where required.
• Troubleshoot technical issues and provide appropriate recommendations and resolutions.
• Produce clear technical documentation and communicate complex concepts to both technical and non-technical stakeholders.

Skills

Microsoft Azure

Databricks

AI-assisted coding

Data governance

CI/CD

DevOps

Stakeholder management

Independent work

Enterprise data architecture

Job description

We are seeking an experienced Senior Data Platform Engineer to join a strategic enterprise technology programme within the energy and logistics sector.

The successful candidate will contribute to the design and development of modern data platforms and applications that support critical business operations. You will work independently, manage your own priorities, and act as a Subject Matter Expert across multiple IT systems and technology domains.

Key responsibilities

• Design and develop moderately complex applications, data platforms, and infrastructure using Azure and Databricks.
• Build, enhance, and automate data pipelines to support enterprise-scale business processes.
• Use AI-assisted development techniques to accelerate pipeline creation, improve code quality, and optimize technical solutions.
• Act as a Subject Matter Expert across multiple systems, domains, and project workstreams.
• Provide functional and technical guidance to colleagues and project teams.
• Collaborate with business stakeholders, architects, developers, and data specialists to understand requirements and deliver effective solutions.
• Identify opportunities to improve applications, infrastructure, data processes, and development practices.
• Advise on the optimal use of cloud services, data technologies, and enterprise platforms.
• Contribute to functional and technical design activities, ensuring solutions are scalable, secure, maintainable, and aligned with enterprise standards.
• Support data integration, master data, governance, and information management initiatives where required.
• Troubleshoot technical issues and provide appropriate recommendations and resolutions.
• Produce clear technical documentation and communicate complex concepts to both technical and non-technical stakeholders.

Required experience and skills

• Hands-on experience with Microsoft Azure, particularly cloud-based data and integration services.
• Strong experience with Databricks, including data engineering, pipeline development, or platform implementation.
• Knowledge of enterprise architecture principles, integration patterns, data architecture, governance, security, and technology standards.
• Experience using AI-based or AI-assisted coding tools to develop, automate, optimize, or refactor code and data pipelines.
• Strong understanding of application, data, and infrastructure design.
• Experience working across multiple IT systems or technology domains.
• Excellent communication and stakeholder-management skills.
• Ability to work independently, determine priorities, and make informed technical decisions.
• Experience providing technical support and guidance to experienced colleagues and project teams.
• Experience working in the energy, logistics, transportation, shipping, trading, or supply-chain sectors.
• Experience with enterprise platform modernisation or legacy-system replacement programmes.
• Knowledge of master data management and data governance.
• Experience supporting business-critical operational platforms.
• Familiarity with DevOps, CI/CD, infrastructure-as-code, and agile delivery practices.
• Experience integrating data across complex enterprise technology ecosystems.