Data Engineer (Mid–Senior) Job at Hire Resolve

Job Description

• A Data & AI Intelligence consultancy company is looking for a highly motivated and experienced Data Engineer to join a collaborative team of Product Owners, Data Engineers, and Machine Learning Engineers in Cape Town, Western Cape on a 12 month contract. 
• This role is ideal for a self-driven professional who enjoys solving complex data challenges, building scalable cloud-based solutions, and working in a highly autonomous, outcome-focused environment.
• The successful candidate will play a key role in designing, building, and maintaining modern data platforms that support advanced analytics, machine learning, and business intelligence initiatives.

Key Responsibilities: 

Data Engineering: 

• Design, develop, and maintain scalable data pipelines and data platforms.
• Build robust ETL/ELT processes to ingest, transform, and load data from multiple sources.
• Develop and optimise data layers that support analytics and reporting requirements.
• Ensure data quality, integrity, lineage, and performance across data environments.
• Support both batch and real-time data processing solutions.
• Create and maintain technical documentation and solution designs.

Requirements Analysis 

• Engage with stakeholders to understand business and operational requirements.
• Analyse source systems and datasets to identify opportunities and recommend solutions.
• Translate business needs into scalable technical data solutions.

Cloud and Infrastructure 

• Develop and maintain cloud-native data solutions across Azure, AWS, or Google Cloud Platform (GCP).
• Monitor and optimise cloud resource utilisation and associated costs.
• Support the development and maintenance of data infrastructure required for modern analytics platforms.

Quality Assurance and Best Practises 

• Conduct peer reviews and contribute to code quality initiatives.
• Follow SDLC processes, documentation standards, and governance requirements.
• Implement monitoring, troubleshooting, and performance optimisation practices

Collaboration: 

• Work closely with Product Owners, Data Scientists, Analysts, and Engineering teams.
• Provide mentorship and knowledge sharing within the team.
• Participate in standby and support rotations where required.
• Contribute positively to team culture and continuous improvement initiatives.

Requirements: 

• Bachelor's Degree or Diploma in:
• Computer Science
• Information Systems
• Data Engineering
• Software Engineering
• Minimum 5 years of Data Engineering experience.
• Proven experience designing and implementing enterprise-scale data solutions.
• Strong experience with Python and SQL.
• Experience working within cloud-native environments.
• Demonstrated ability to deliver solutions independently in a fast-paced environment
• Strong Data Engineering fundamentals and modern data architecture principles.
• Experience building and maintaining high-volume data pipelines.

Experience with cloud platforms:

• Google Cloud Platform (GCP)
• Microsoft Azure
• Amazon Web Services (AWS)

Understanding of:

• Data governance
• Data quality frameworks
• Data lineage
• Security and compliance requirements
• Strong troubleshooting, optimisation, and problem-solving skills.