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- Tasks: Design and optimise data pipelines, ensuring high-quality data solutions.
- Company: Bechtel, a global leader in engineering and construction.
- Benefits: Robust benefits, career advancement, and a supportive culture.
- Why this job: Join a diverse team tackling real-world challenges with innovative data solutions.
- Qualifications: Bachelor’s degree in computer science and experience in data engineering.
- Other info: Part-time telework with flexible in-person attendance.
The predicted salary is between 28800 - 43200 £ per year.
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.
- 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.
- Experience with Databricks or Spark-based environments, including optimization strategies.
- Familiarity with data governance tools and frameworks (e.g., Unity Catalog).
- Experience with JavaScript Full-Stack development environments including MongoDB or similar NoSQL databases.
- 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.
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.
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.
Data Engineer in London employer: Bechtel Corporation
Contact Detail:
Bechtel Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Bechtel or in the data engineering field on LinkedIn. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data engineering projects, especially those involving ETL/ELT pipelines or Azure Databricks. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL and Python skills, and be ready to tackle technical questions or coding challenges during the interview process. We all know how important it is to demonstrate your expertise!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll find all the latest job openings and updates there!
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights the skills and experiences that align with the Data Engineer role. We want to see how your background in data engineering, SQL, and cloud platforms like Azure fits into our vision.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our Infrastructure AI and Data program. Let us know what excites you about working with us!
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with ETL/ELT processes, Databricks, and any other relevant tools. We’re keen to see how you’ve tackled challenges in your previous roles and what strategies you used for performance optimisation.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Bechtel Corporation
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially around ETL/ELT processes and data modelling. Be prepared to discuss your experience with SQL, Python, or Scala, as well as any cloud-based platforms like Azure. This will show that you have the technical chops for the role.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to share specific examples of how you've optimised data workflows or solved complex data issues in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Familiarise Yourself with Their Tools
Since the role involves working with Databricks and possibly other data governance tools, do some research on these technologies. If you can speak knowledgeably about how you've used similar tools or how you would approach using them, it’ll definitely impress the interviewers.
✨Emphasise Collaboration and Mentorship
This position requires collaboration with various stakeholders and mentoring junior engineers. Be prepared to discuss your experiences working in teams and how you've contributed to a positive team culture. Highlight any mentoring or leadership roles you've taken on in previous positions.
