IM Analytics Engineer

Company Description

About Element Six

Element Six (E6), is a global leader in the design, development and production of synthetic diamond and tungsten carbide supermaterials. Part of the De Beers Group, our primary manufacturing sites are located in UK, Ireland, Germany, South Africa and the US.

Our mission

We put our customers first. Using our technological expertise and industrial leadership we deliver innovative solutions to achieve competitive advantage.

Our vision

With access to the most sophisticated R&D technology and the best minds in the business, the future is full of possibilities…

Employment Equity & Inclusion and Diversity

The Company's approved Employment Equity plan and targets will be considered as part of the recruitment process.  We are committed to fostering a vibrant workplace culture that is inclusive and embraces our diversity, where we value and respect every colleague for who they are and provide equality of opportunity so that everyone can fulfil their potential and thrive.

Background checks

Successful candidates will be required to complete a background screening check which may include a criminal check and validation of qualifications.

Job Description

Job overview

The Analytics Engineer is responsible for designing, developing, and managing data pipelines and analytical solutions that drive strategic business decisions. This role requires expertise in modern data engineering tools and technologies, with a strong focus on Azure, Databricks, and Python/Pyspark together with great business engagement and data visualization and storytelling skills (with a focus on Power BI). Analytics Engineers work closely with cross-functional teams to translate business requirements into scalable and efficient data solutions.

Key Responsibilities:

• Design, develop, and manage ETL pipelines using Databricks, Python/Pyspark, and SQL.
• Implement real-time data pipelines and ensure data is available for business needs in a timely manner.
• Develop and maintain dimensional models to support data warehousing and BI initiatives.
• Create and maintain interactive and insightful dashboards using Power BI.
• Utilize Azure DevOps and GitHub for code management, version control, and CI/CD pipelines.
• Collaborate with data scientists, analysts, and other stakeholders to understand business requirements and deliver end-to-end data solutions.
• Optimize and manage cloud data architecture, with a focus on cost efficiency and performance.
• Apply software engineering best practices, including code reviews, testing, and documentation.
• Stay updated with emerging trends and technologies in data engineering and cloud computing.

Technical Skills:

• Proficient in Azure, Databricks, and Python/Pyspark.
• Strong SQL skills for data manipulation and querying.
• Experience with Azure DevOps and GitHub for code management and CI/CD processes.
• Advanced skills in Power BI for data visualization and reporting.
• Knowledge of dimensional modeling techniques and best practices.
• Experience in creating and managing ETL and real-time data pipelines.
• Understanding of cloud architecture (preferably Azure, but also familiar with AWS and GCP).
• Basic understanding of cloud infrastructure cost management and optimization strategies.
• Understand Manufacturing Operations business processes (MUST HAVE)

Qualifications

Bachelors Degree in Engineering or Computer Science 

Additional Information

Soft Skills:

• Excellent team player with strong collaboration skills.
• Self-motivated and able to work independently with minimal supervision.
• Strong problem-solving skills and attention to detail.
• Effective communication skills, both written and verbal.
• Willingness to learn new technologies and continuously develop technical skills.
• Ability to work in a fast-paced, dynamic environment and manage multiple priorities.