Data Integration Engineer

Milton Park; Abingdon; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

Halliburton is seeking a skilled Data Integration Engineer to join the Neftex Technical Services team at Milton Park in Abingdon. The role involves designing and maintaining data pipelines while collaborating with various stakeholders. Candidates should have 3+ years of experience and proficiency in data virtualization and cloud platforms.

This hybrid position requires a minimum of three days per week onsite attendance, allowing for innovative work and development opportunities.

Qualifications

• 3+ years’ experience working with database and related tools.
• Strong proficiency with data virtualization platforms and tools.
• Knowledge of SQL, relational databases, and data modeling.

Responsibilities

• Design and implement scalable data integration solutions using ETL/ELT tools and APIs.
• Develop and maintain data pipelines that include Large Language Models.
• Collaborate with data architects and business stakeholders to understand data requirements.

Skills

Strong proficiency with data virtualization platforms

Solid understanding of SQL

Experience with cloud platforms (AWS, Azure)

Familiarity with RESTful APIs

Knowledge of data governance best practices

Tools

ETL/ELT tools

PowerShell

Python

Teiid

Spotfire

Job description

Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, colour, 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.

They are looking for the right people — people who want to innovate, achieve, grow and lead. They attract and retain the best talent by investing in their 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 Description

They 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 they can train up in their processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. Please note, although this is a hybrid position, you will be required to attend their Milton Park, Abingdon, Oxfordshire office a minimum of three days per week.

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

The ideal candidate

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.