Leucipa Lead Data Engineer

About Baker Hughes

Do you enjoy working with multiple teams to ensure on-time delivery?
Would you like the opportunity to develop your career within a global energy company?

Partner with the best

Baker Hughes is a global energy technology company serving the oil and gas sector across more than 120 countries. The Commercial & Sales organization drives growth by building strong customer partnerships, commercializing hydrocarbons, and delivering integrated equipment and service solutions. With a focus on digital transformation and energy transition, the team leverages data‑driven insights to optimize sales performance and maximize customer value.

Partner with the best.

Role Overview

Fuel your passion

We are seeking a motivated Data Engineer to join our team and help build robust, with 0‑5 years' Experience, scalable data infrastructure. In this role, you will design, develop, and maintain data pipelines that support analytics, reporting, and operational needs. You'll collaborate with cross‑functional teams to ensure data quality, accessibility, and performance across platforms.

Responsibilities

As a Lead Data Engineer, you will be responsible for:

• Overseeing and managing front‑line manufacturing employees. Typically managing hourly employee populations.
• Developing and maintaining ETL/ELT pipelines for structured and unstructured data.
• Working with cloud‑based data platforms (e.g., AWS, Azure, GCP).
• Optimizing data workflows for performance and scalability.
• Collaborating with data analysts and scientists to support business insights.
• Ensuring data integrity and implement best practices in data engineering.

Qualifications

To be successful in this role you will:

• Have 0‑5 years of experience in data engineering or related field.
• Have Proficiency in SQL and Python (or Scala).
• Have Familiarity with cloud services and data warehousing tools.
• Have good understanding of data modeling and pipeline orchestration.
• Have strong problem‑solving and communication skills.

Flexible Working

We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:

• Working flexible hours – flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Our Culture

Working with us

Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well‑being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.

Benefits

Working for you

Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect:

• Contemporary work‑life balance policies and wellbeing activities
• Comprehensive private medical care options
• Safety net of life insurance and disability programs
• Tailored financial programs
• Additional elected or voluntary benefits

You will be eligible to participate in Company‑sponsored benefit programs, including health & welfare programs and the Thrift Plan (401k). You will have a choice of coverage options that best suit your needs. Coverage options and contribution amounts are related to your benefit elections, base salary level, and specific requirements of each of these plans.

This position is eligible for our comprehensive and competitive benefits package, which can be found here, and is further eligible for additional forms of compensation such as bonuses subject to the terms of the applicable benefit plans or policies.

Additional Information

The Baker Hughes internal title for this role is: Lead Engineer, Mathematics & Data Science, Disciplinary Engineering and Science