Junior Data Engineer at Ignition Group

• The Junior Data Engineer will support the design, development, and maintenance of data pipelines and systems that enable reporting and analytics across the organisation. Work under supervision to ensure data is collected, transformed, and stored accurately and efficiently. Develop foundational skills in data engineering technologies and best practices while contributing to team deliverables.

Job Description
Data Pipeline Development and Maintenance

• Assist in building and maintaining data pipelines under the guidance of senior engineers. 
• Support extraction, transformation, and loading (ETL/ELT) processes using SQL and Python. 
• Monitor data flows to identify and resolve simple data quality or performance issues. 

Data Integration and Quality 

• Support integration of data from multiple sources (CRM, WFM, Telephony, Digital) into central repositories. 
• Conduct basic data validation, quality checks, and error logging. 
• Helps document data sources, structures, and flows for team reference.

Automation and Tool Support  

• Learns and applies foundational understanding of automation frameworks to enhance process efficiency and quality. 
• Contribute to automation of simple recurring data processes. 
• Support testing and deployment activities for data pipeline updates. 

Analytics and Reporting Support

• Prepare and deliver well-structured data sets for analysts and business users. 
• Ensure accuracy and completeness of data for dashboards and reports. 
• Assists in creating and updating technical documentation for data pipelines, mappings, and validation steps under supervision .

Collaboration and Learning 

• Collaborate with senior team members and cross-functional partners to meet project objectives. 
• Participate in peer code reviews and knowledge-sharing sessions. 

Job Requirements

• Bachelor's degree in computer science, Data Science, Information Systems, or related discipline. 
• Cloud familiarity (AWS/Azure/Google/Snowflake ecosystem)  
• Certifications or coursework in SQL, Python, or data technologies advantageous. 

EXPERIENCE

• 1 - 3 years of experience in a data engineering or related technical role. 
• Exposure to data pipeline development or analytics preferred. 

KNOWLEDGE SKILLS AND ATTRIBUTES

• Basic understanding of Git-based version control and collaborative workflows 
• Basic SQL and Python skills for data extraction and transformation. 
• Familiarity with Snowflake or similar data warehousing platforms. 
• Understanding of ETL/ELT processes and cloud-based data environments. 
• Exposure to orchestration or transformation tools such as dbt, Airflow, or similar 
• Awareness of data quality and governance concepts. 
• Analytical thinker with attention to detail and problem-solving aptitude. 
• Team player with eagerness to learn and contribute.