Data Engineer

Bechtel Oil, Gas & Chemicals Incorporated; Greater London; Hybrid; GBP 50,000 - 70,000; Part time

Job summary

A global engineering company in Greater London is seeking a Data Engineer to design and optimize data pipelines while collaborating with various stakeholders. This part-time role requires strong proficiency in SQL and experience with Azure Databricks. Candidates should have a Bachelor’s degree in a relevant field and practical experience in data engineering. The position offers a flexible work schedule with mandatory in-office attendance required for part of the week.

Benefits

Robust benefits package

Opportunities for career advancement

Qualifications

• Bachelor’s degree required.
• Experience in data engineering or a related role.
• Strong proficiency in SQL and Python or Scala.

Responsibilities

• Develop and maintain ETL/ELT pipelines for data ingestion.
• Optimize data workflows in Azure Databricks.
• Collaborate with architects on data requirements.

Skills

SQL

Python

Databricks

Data engineering best practices

Education

Bachelor’s degree in computer science or related field

Tools

Azure Databricks

Git

Job description

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Overview

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 world's 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 & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.

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 combines technical leadership with hands-on data engineering, focusing on designing and optimizing data pipelines, improving performance, and contributing to data modeling and architecture decisions. The Data Engineer will work with the Data Solutions Architect and functional SMEs to deliver scalable, secure, and high-quality data solutions.

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:

• Develop and maintain complex ETL/ELT pipelines to ingest and transform data from multiple sources into the UDP environment.
• Performance tuning and optimization of data workflows within Azure Databricks.
• Implement advanced data quality checks and validation routines to ensure integrity and consistency of datasets.
• Collaborate with data solutions architect and functional SMEs to understand data requirements and deliver solutions aligned with business needs.
• Contribute to data modeling and architecture decisions to support analytics and reporting needs.
• Support integration of structured and semi-structured data into the lakehouse architecture.
• Document processes and contribute to best practices for data engineering within the PIIM team.
• Mentor junior engineers and promote best practices in coding, testing, and documentation.

Education and Experience Requirements:

• Bachelor’s degree in computer science or related field
• Experience in data engineering or related role.
• Strong proficiency in SQL and advanced experience with Python or Scala for data processing.
• Hands-on experience with cloud-based data platforms (Azure preferred).
• Solid understanding of data modeling, ETL/ELT processes, and performance optimization techniques.
• Ability to lead technical discussions and provide guidance on data engineering best practices.
• Ability to troubleshoot and optimize data workflows.

Required Knowledge and Skills:

• Experience with Databricks or Spark-based environments, including optimization strategies.
• Familiarity with data governance tools and frameworks (e.g., Unity Catalog).
• Experience with CI/CD pipelines and version control (Git) for data workflows.
• Exposure to EPC industry data structures and standards.

For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards

Diversity and Equal Opportunity

As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.

We are committed to being a company where every colleague feels that they belong — where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.

Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law.

We’re creating a space where all people, including those with disabilities, can advance their careers and optimize their possibilities through a fair and inclusive workplace. If reasonable adjustments are needed to apply for an open position, please contact us to ensure we can provide an environment where each and every candidate can thrive: [e-mail]. Bechtel is a verified company with the Disability Confident Scheme