Data Engineer - Remote

Enablesa T / A Enablesa Pty Ltd; Remote; ZAR 999 000 - 1 667 000; Full time

Job summary

A national client is seeking an experienced Data Engineer for a remote position. The role involves designing and developing data solutions using Azure services, implementing data ingestion and processing tasks, and collaborating with data scientists. Candidates should have a Bachelor's degree, strong Azure expertise, and the ability to work with large data sets. The position offers the opportunity to work with cutting-edge technologies in a supportive environment.

Qualifications

• Bachelor's degree in a relevant field.
• Proven experience as a Data Engineer, especially with Azure.
• Strong understanding of data warehousing and processing.

Responsibilities

• Design and develop data solutions using Azure services.
• Implement data ingestion, processing, and storage solutions.
• Collaborate with data scientists to identify data requirements.

Skills

Data ingestion

Data processing

SQL

Python

Java

Data modeling

Data analysis

Azure services

Education

Bachelor's degree in Computer Science, Information Technology, or a related field

Tools

Azure Data Factory

Azure Data Lake

Azure SQL Database

PowerBI

Tableau

Job description

Data Engineer (Remote) – This is a remote position. Our national client is seeking an experienced Data Engineer to join the team: design and develop data solutions using Azure services, such as Azure Data Factory, Azure Data Lake, and Azure SQL Database. Implement data ingestion, processing, and storage solutions to meet business needs. Collaborate with data scientists and business stakeholders to identify data requirements and design data pipelines. Write efficient and scalable code for data processing and data integration tasks. Implement data security and privacy measures to ensure data protection. Monitor and troubleshoot data processing issues and ensure data accuracy and quality.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer, with experience in Azure.
• Strong understanding of data warehousing, data ingestion, and data processing concepts.
• Proficient in programming languages such as SQL, Python, Java, or C#.
• Knowledge of SQL and experience with other query languages (e.g., DAX, M).
• Ability to work with large and complex data sets and perform data analysis and modeling.
• Experience with other cloud platforms, such as AWS or Google Cloud Platform.
• Knowledge of big data technologies, such as Apache Hadoop or Apache Spark.
• Experience with data visualization tools, such as PowerBI or Tableau.
• Ability to write clean, efficient, and well‑documented code.
• Knowledge of Agile development methodologies and DevOps practices.