Halliburton

We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are seeking a skilled and proactive Data Integration Engineer to join the Neftex Technical Services team. Reporting to the Team Lead the Data Integration Engineer will be responsible for designing, building, and maintaining robust data pipelines and integration frameworks that connect diverse systems including LLMs and a proprietary Data Integration solution. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities: Design and implement scalable data integration solutions using ETL/ELT tools and APIs Develop and maintain data pipelines that include Large Language Models (LLMs) Build solutions that include cloud and on-premises environments Collaborate with data architects, analysts, and business stakeholders to understand data requirements Integrate data from various sources including databases, SaaS platforms, APIs, and flat files Monitor and optimize data flows for performance, reliability, and cost-efficiency Ensure data quality, consistency, and governance across integrated systems Automate data workflows and support real-time data streaming Document integration processes and maintain technical specification Qualifications Qualifications & Experience: 3+ years' experience working with database and related tools Strong proficiency with data virtualisation platforms and tools such as Teiid or similar Solid understanding of SQL, relational databases, and data modelling Experience with cloud platforms (AWS, Azure) and cloud-native data services Familiarity with RESTful APIs, JSON, XML, OData, and message queues (Kafka) Knowledge of data governance, security, and compliance best practices Preferred Skills: Experience with cloud-based database solutions. Understanding of data lifecycle management and SOC2 security standards. Familiarity with geoscience disciplines, geospatial data and GIS tools (e.g., ArcGIS, QGIS) is advantageous. Scripting and automation (e.g., PowerShell, Python, Java). Experience with Gitlab. Knowledge of Spotfire data visualization platform or alternative dashboard solutions. Awareness of Agile delivery methodologies. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204269 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.

We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are actively seeking a Mid-Level DevOps Engineer to join our Technical Solutions Team, which is responsible for implementing the delivery platform across the Neftex subsurface evaluation product portfolio. This role is ideal for self-motivated, enthusiastic individuals who thrive in team environments and are passionate about building innovative, scalable solutions using cloud technologies. You will work on the design, implementation, and maintenance of cloud and on-premises infrastructure, CI/CD pipelines, automation tooling, and operational scripts. You will work closely with application developers in a DevOps environment. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities Design, implement, and maintain infrastructure to support scalable and resilient applications. Develop and manage CI/CD pipelines to automate build, test, and deployment processes. Write and maintain automation scripts for infrastructure provisioning, configuration, and deployment. Create operational tooling and scripts to streamline monitoring, logging, backups, and incident response. Collaborate with software engineers to ensure integration between application code and infrastructure. Monitor system performance, availability, and reliability using appropriate tools and metrics. Troubleshoot and resolve infrastructure and deployment issues across environments. Implement and enforce cloud security policies and practices. Maintain and improve Infrastructure as Code (IaC) scripts and templates. Participate in Agile ceremonies and contribute to sprint planning, backlog grooming, and retrospectives. Document infrastructure, processes, and operational procedures. Stay current with emerging cloud technologies, automation frameworks, and DevOps trends, and proactively suggest improvements. Qualifications Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience. 3+ years experience in building and maintaining distributed systems in on-premises environments including private cloud and hybrid solutions. Strong experience in building and maintaining distributed systems in on-premises environments including private cloud and hybrid solutions. Proficiency in Infrastructure as Code (IaC) using Terraform. Experience with CI/CD tools and practices. Solid scripting skills using Python, Bash, or PowerShell for automation of operational tasks. Networking including firewall principles, routing, package filtering, and WAF. Familiarity with monitoring, logging, and alerting tools (e.g., CloudWatch, Prometheus, Grafana). Experience with a public cloud provider (preferably AWS or Azure). Strong problem-solving skills and ability to work in a fast-paced, agile environment. Preferred Qualifications Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with modern infrastructure design patterns. Strong knowledge of server hardware, virtualization (VMware/Hyper-V), and storage systems Experience with GitOps workflows and tools. Exposure to configuration management tools (e.g., Ansible). Understanding of infrastructure security best practices, including: Active Directory DNS DHCP Group Policy Secrets management Data encryption (at rest and in transit) Compliance and audit logging Experience working in Agile teams using Scrum or Kanban methodologies. Comfortable working in geographically distributed teams and cross-functional environments. Familiar with SOC2 compliance requirements Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204218 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.

We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are actively seeking a Junior-Level DevOps Engineer to join our Technical Solutions Team, which is responsible for implementing the delivery platform across the Neftex subsurface evaluation product portfolio. This role is ideal for self-motivated, enthusiastic individuals who thrive in team environments and are passionate about building innovative, scalable solutions using cloud technologies. You will work on the design, implementation, and maintenance of cloud and on-premises infrastructure, CI/CD pipelines, automation tooling, and operational scripts. You will work closely with application developers in a DevOps environment. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities Design, implement, and maintain infrastructure to support scalable and resilient applications. Develop and manage CI/CD pipelines to automate build, test, and deployment processes. Write and maintain automation scripts for infrastructure provisioning, configuration, and deployment. Create operational tooling and scripts to streamline monitoring, logging, backups, and incident response. Collaborate with software engineers to ensure integration between application code and infrastructure. Monitor system performance, availability, and reliability using appropriate tools and metrics. Troubleshoot and resolve infrastructure and deployment issues across environments. Implement and enforce cloud security policies and practices. Maintain and improve Infrastructure as Code (IaC) scripts and templates. Participate in Agile ceremonies and contribute to sprint planning, backlog grooming, and retrospectives. Document infrastructure, processes, and operational procedures. Stay current with emerging cloud technologies, automation frameworks, and DevOps trends, and proactively suggest improvements. Qualifications Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience. 2+ years experience in building and maintaining distributed systems in on-premises Strong experience in building and maintaining distributed systems in on-premises environments including private cloud and hybrid solutions. Proficiency in Infrastructure as Code (IaC) using Terraform. Experience with CI/CD tools and practices. Solid scripting skills using Python, Bash, or PowerShell for automation of operational tasks. Networking including firewall principles, routing, package filtering, and WAF. Familiarity with monitoring, logging, and alerting tools (e.g., CloudWatch, Prometheus, Grafana). Experience with a public cloud provider (preferably AWS or Azure). Strong problem-solving skills and ability to work in a fast-paced, agile environment. Preferred Qualifications Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with modern infrastructure design patterns. Strong knowledge of server hardware, virtualization (VMware/Hyper-V), and storage systems Experience with GitOps workflows and tools. Exposure to configuration management tools (e.g., Ansible). Understanding of infrastructure security best practices, including: Active Directory DNS DHCP Group Policy Secrets management Data encryption (at rest and in transit) Compliance and audit logging Experience working in Agile teams using Scrum or Kanban methodologies. Comfortable working in geographically distributed teams and cross-functional environments. Familiar with SOC2 compliance requirements Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204264 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.

We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are looking to recruit an experienced Software Development Team Lead. You will be responsible for leading a team of software developers and testers to develop new data-driven cloud and on-premises applications incorporating Large Language Models in a multi-year roadmap. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities This is a hands-on role and will be expected to take an active part in development work Lead teams of developers and data scientists to deliver new products, features and fixes iteratively using an Agile Scrum approach Provide technical input including architectural and design decisions Act as first point of escalation to ensure impediments are removed and team maintains development velocity and achieves committed sprint goals. Communicate and escalate issues in a clear and timely manner Team management including day to day and career development for team members Maintain an up-to-date knowledge of existing and emerging technologies relevant to the role Qualifications Essential Attributes 10+ years of experience in Software development of complex applications. Excellent understanding of design principles and considerations, best practice Team Lead experience leading software engineering teams using an Agile methodology Experience in two or more of the following programming languages: Python, Java, and/or .NET (C#) Familiarity with databases such as MSSQL, PostgreSQL, and Oracle Familiarity with build pipeline tools and technologies such as GitLab Excellent analytical, communication and problem-solving skills Self-Starter; willing to learn new technologies, ability to learn fast Team player: willing to coach junior team members and cooperate on problem solving Ability to establish credibility with engineers quickly, and provide long-term goals and motivation Excellent facilitation skills for cross-stakeholder discussions, both internal and external Desirable Attributes Experience in Geology domain especially Oil and Gas Experience with LLMs and/or AI as part of a solution Knowledge of cloud architecture including AWS, Azure, and/or Google Cloud Undergraduate degree in Software Engineering, Computer Science or equivalent experience Agile Scrum certification Experienced in working with remote teams Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204217 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.

We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. About the Role We are seeking a skilled and motivated Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data. Key Responsibilities Develop robust Python pipelines for data manipulation using NLP and Foundation Models Apply geospatial libraries and techniques to subsurface geological datasets Implement secure coding practices and manage version control using Git Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure Optimize database performance and spatial queries using PostgreSQL/PostGIS Required Qualifications Honors degree (2:1 or above) in data science or related field. Minimum of 2 years related work experience Essential Skills Proficiency in Python, with a strong grasp of Python best practices Experience using Git for version control and collaboration Experience in use of ML, NLP and Foundation Models in ETL pipelines Knowledge of secure coding principles Familiarity with geospatial libraries such as GeoPandas, Shapely, and GDAL Knowledge of PostgreSQL/PostGIS for spatial data management Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Experience working with large datasets, including data preprocessing Excellent communication skills, both written and verbal English, with the ability to communicate complex ideas clearly Strong teamwork and interpersonal skills, with a collaborative and agile mindset Self-motivated, detail-oriented, and capable of managing multiple task Desirable Skills Knowledge of geological or subsurface data domains Experience developing AI models across domains such as natural language processing, computer vision, or predictive analytics Experience with containerization tools such as Docker and Kubernetes Familiarity with CI/CD pipelines for automated deployment Experience with database virtualisation, including DecisionSpace integration server Experience with data analysis applications from the Neftex Predictions portfolio Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204366 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.

We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. About the Role We are seeking a highly skilled and motivated Senior AI Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data. Key Responsibilities Collaborate with geoscientists and engineers to understand requirements and design effective solutions Develop robust Python pipelines for data manipulation Implement secure coding practices and manage version control using Git Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure Optimize database performance and spatial queries using PostgreSQL/PostGIS Champion Python best practices across the team and support the development of junior team members Required Qualifications Honors degree (2:1 or above) in data science/AI or related field. Minimum of 10 years related work experience. Desirable Qualifications Postgraduate qualification in AI or related field Essential Skills Proficiency in Python, with a strong adherence to Python best practices Experience using Git for version control and collaboration Knowledge of secure coding principles Expertise in geospatial libraries such as GeoPandas, Shapely, and GDAL Advanced knowledge of PostgreSQL/PostGIS for spatial data management Experience with AWS and Azure platforms, including AI services (e.g., AWS SageMaker, Azure ML) Proven experience developing or deploying AI models across domains such as natural language processing, computer vision, or predictive analytics Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Strong teamwork and interpersonal skills, with a collaborative and agile mindset Proven ability to work within agile development environments Self-motivated, detail-oriented, and capable of managing multiple tasks Desirable Skills Knowledge of geological or subsurface data domains Experience with containerization tools such as Docker and Kubernetes Familiarity with CI/CD pipelines for automated deployment Understanding of data governance and compliance in scientific environments Experience with database virtualisation, including DecisionSpace integration server Experience with data analysis applications from the Neftex Predictions portfolio Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204382 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.

We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Halliburton-Landmark is seeking a dynamic Product Owner who combines deep geoscience domain expertise with a strong grasp of software development and commercial strategy to join the Neftex team. As Product Owner, within the Neftex Family, the successful candidate will be responsible the development and delivery of innovative software solutions that meet customer needs and drive business growth. The Product Owner will be responsible for shaping the product roadmap, managing the backlog, and ensuring successful execution in collaboration with cross-functional teams-including software engineering, delivery management, QA, and geoscience/data science experts. This role demands a confident communicator and strategic thinker who thrives in customer-facing environments, inspires internal teams, and champions product excellence. The Product Owner will play a pivotal role in training, demonstrating, and supporting the product's commercialization, ensuring it delivers real value to users and stakeholders. This role requires a strong foundation in geoscience, knowledge of software product development, the successful candidate will have the entrepreneurial spirit to drive and develop this new business opportunity. Key Responsibilities Own and evolve the product roadmap in alignment with business goals and customer needs Define and prioritize the team backlog, including user stories and acceptance criteria Collaborate with QA to ensure test coverage meets acceptance standards Adapt backlog based on market feedback and leadership direction Partner with Delivery Management and Engineering to define scope and resource needs Deliver engaging product demonstrations and training to internal and external stakeholders Develop and maintain the business case and risk log for the product Financial Oversight - full awareness of technology and development spend, commercialization model and pricing Drive product commercialisation strategy and execution Work alongside General Manager and Solution Owners to translate long-term vision into quarterly and sprint-level objectives Qualifications Essential Qualifications and Experience MSc or higher in Geoscience, Computer Engineering, or a related field Proven experience in working as a domain representative within software development environments Business Acumen Excellent communication skills including presentation skills, and technical writing and documentation skills, including use case creation. Strong customer-facing skills, including product demos Demonstrated ability to collaborate across domains and functions 8 - 10 years relevant industry experience Desirable Skills Prior experience as a Product Owner including hands-on experience in managing and prioritizing a backlog with Azure DevOps (ADO) or similar Managing cost/profit centre Applied Geoscience/computational geoscience Programming experience This role offers the chance to make a real impact in a fast-paced, innovative setting. If you're passionate about building products that solve real-world problems and thrive in cross-functional teams, we'd love to hear from you. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204442 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.