Requisition ID:291202
:Relocation Authorized:None
:Telework Type:Part:Time Telework
:Work Location: London
Extraordinary teams building inspiring projects:
Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the worlds infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.
Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security and Environmental; Energy; Mining and Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start:up and operations.
Core to Bechtel is our
Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our
extraordinary teams building inspiring projects in our
Impact Report.
Job Summary:
The Infrastructure AI and Data program is a cornerstone initiative designed to transform how our Global Business Unit (GBU) manages, governs, and leverages data to drive innovation and operational excellence. As we scale digital capabilities across complex engineering and delivery environments, the ability to harness data effectively is critical to enabling advanced analytics, AI:driven insights, and seamless collaboration across diverse stakeholders.
This role is primarily execution:focused, supporting data ingestion, transformation, and quality processes under the guidance of senior data engineers and the Data Solutions Architect. The Data Engineer will help ensure data is accurate, timely, and accessible for analytics and reporting, contributing to Bechtel's digital transformation journey while developing technical skills in modern data engineering practices.
This position is designated as part:time telework per our global telework policy and may require at least three days of in:person attendance per week at the assigned office or project. Weekly in:person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership".
Major Responsibilities:
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Develop and maintain ETL/ELT pipelines to ingest and transform data from multiple sources into the UDP environment.
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Collaborate with data solutions architect and functional SMEs to understand data requirements and deliver solutions aligned with business needs.
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Implement data quality checks and validation routines to ensure integrity and consistency of datasets.
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Optimize data workflows for performance and scalability within Azure Databricks.
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Document processes and contribute to best practices for data engineering within the PIIM team.
Education and Experience Requirements:
typedisc:
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Bachelor's degree in computer science or related field
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Experience in data engineering or related role.
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Proficiency in SQL and experience with Python or Scala for data processing.
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Familiarity with cloud:based data platforms (Azure preferred).
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Understanding of data modeling concepts and ETL/ELT processes.
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Ability to troubleshoot and optimize data workflows.
Required Knowledge and Skills:
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Exposure to Databricks or Spark:based environments.
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Experience with data governance tools and practices.
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Experience with JavaScript Full:Stack development environments including MongoDB or similar NoSQL databases
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Knowledge of version control (Git) and CI/CD for data pipelines.
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Awareness of EPC industry data structures and standards.
Total Rewards/Benefits:
For decades, Bechtel has worked to inspire the next generation of employees and beyond Because our teams face some of the worlds toughest challenges, we offer robust benefits to