Senior Data Engineer at NOV

• As a Data Engineer you will be responsible for developing reporting and analysis software for our internal customers. This role involves transforming proprietary and commercial data sources into tools that support our manufacturing, sales, and engineering functions.

Key Responsibilities:

Customer Collaboration:

• Work directly with internal customers to identify their requirements; Develop robust data models and gather feedback to refine solutions; Deliver products through internal APIs or dashboards.

Project Management:

• Complete projects within the required timelines with minimal supervision from senior Technical Software Development team members.

Technical Communication:

• Effectively communicate data insights and promote data products to stakeholders and customers; Build strong relationships and positively represent our team within the organization.

Product Innovation:

• Identify and develop novel data products that provide value to the organization; Stay current on the business's needs and challenges.

Data Modelling:

• Create data models for complex business processes using standard database tools and software; Ensure models promote flexibility, ease of consumption, and software performance.

Analytics Engineering:

• Develop visualizations and charts using business intelligence software to help end users and non-experts interpret data; Promote the use of analytics products within the organization through documentation and customer notifications of new releases.

Data Integration:

• Design and code ETL processes to combine data from diverse sources; Ensure data quality through automated testing, sampling, and beta testing.

Data Architecture:

• Make informed decisions about data management, such as choosing between stream processing and batch processing; Justify the management of historical data in databases.

Job Requirements:

Education:

• Bachelor of Science in a quantitative field (e.g., engineering, computer science, mathematics, physics).
• Preferably a master’s or other advanced degree.

Experience:

• Minimum of 2 years of experience in a quantitative discipline (e.g., software engineering) or equivalent postgraduate experience.
• Prior experience in writing and delivering software.
• Excellent written and verbal communication skills.
• Preferably, experience in the upstream oil and gas industry, particularly in oilfields and drilling.

Competencies:

• Proficiency in a general-purpose programming language and a database query language.
• Experience with business intelligence software and ETL tools such as Power BI, Tableau, and Databricks.
• Knowledge of statistics, algebra, and calculus for producing high-quality data visualizations.
• Desired advanced knowledge in algorithms, software design, and/or machine learning.
• Demonstrated experience in delivering software products within an agile development environment.