Senior Engineer, Data Engineering Phos 3 II

Ma’aden; Saudi Arabia; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading organization in the mining sector located in Saudi Arabia is seeking a Sr. Engineer, Data Engineering. In this role, you will apply your expertise in developing and maintaining data infrastructures tailored to enhance operational efficiency. The ideal candidate should have a BSc/MSc in Computer Science and 5-7 years of experience in the manufacturing industry. Skills in SQL, big data pipelines, and programming languages like Python and Scala are essential for this position. This role provides opportunities to drive data initiatives and support digitalization efforts.

Qualifications

• 5-7 years of experience in the manufacturing industry.
• Experience working in an AI start-up environment or organizations with an agile culture.

Responsibilities

• Develop, construct, test, and maintain data architectures tailored for operational units.
• Implement methods to enhance data reliability, efficiency, and quality across data pipelines.
• Create and optimize data tools for analytics and data scientist team members.
• Collaborate closely with the Digitalization - Infrastructure team.

Skills

SQL

Big data data pipelines

Data architectures

Python

Scala

C

Education

BSc/MSc in Computer Science

Information Systems or related Technical Discipline

Job description

Job Title

Sr. Engineer, Data Engineering

Reporting to

Section Head, Digitalization Infrastructure

Business Unit/Function

Business Improvement

Department

Operational Excellence

Direct Reports

NA

Grade

M10

Job Family / Sub Family

Job Family: Data Engineering

Sub Family: -

Position Type

Engineer

Role Profile Number

-

Job Purpose

The Sr. Engineer, Data Engineering applies strong expertise in developing, maintaining, and testing robust data infrastructures specifically for its operations. This role is critical for transforming raw operational data into a clean, accessible, and easily analyzable format, and for architecting scalable data solutions that empower data scientists and business stakeholders to derive insights and drive digitalization initiatives within the unit.

Key Accountabilities

Data Architecture Development & Maintenance (Operational Focus):

• Develop, construct, test, and maintain data architectures, including databases and large-scale processing systems, specifically tailored for the unique data requirements of operational units.
• Ensure the data architecture will robustly support the requirements of data scientists, key stakeholders, and the business objectives for digitalization.
• Develop and improve data set processes for data modeling, data mining, and production environments within the operational context.

Data Reliability, Efficiency & Quality:

• Implement and continuously improve methods to enhance data reliability, efficiency, and quality across all data pipelines.
• Assist with data-related technical issues and provide essential support for data infrastructure needs specific to operational units.

Data Tooling & Enablement:

• Create and optimize data tools for analytics and data scientist team members that assist them in building and optimizing products crucial for achieving business goals and digitalization targets.
• Drive the adoption of best practices in data engineering to support advanced analytics and AI/ML initiatives.

Collaboration & Integration:

• Collaborate closely with the Digitalization - Infrastructure team to ensure seamless integration of data solutions within the broader digital infrastructure.
• Work with data scientists and operational teams to understand data needs and deliver effective data solutions.

Minimum Qualifications, Experience and Competencies

Minimum Qualifications:

BSc/MSc in Computer Science, Information Systems or related Technical Discipline

Minimum Experience:

5-7 years of experience in manufacturing industry

Skills:

Deep knowledge of SQL, “Big data” data pipelines, architectures, and data sets, Experience working in AI start-up environment or organizations with an agile culture, Background in programming in Python, Scala, C etc. is beneficial