Data Engineer Technical Lead – (CONTRACT)
Posted on 2025-04-27 13:07:49
Company | PM Connection |
---|---|
Salary | 0 |
Category | Other IT/Computer |
Location | South Africa / Western Cape / Cape Town |
Job Summary
Leadership:
Demonstrated ability to act as a tech lead, guiding the design, development, and implementation of data solutions while ensuring alignment with best practices and the company and its clients objectives.
Skilled in mentoring and supporting team members, fostering a culture of collaboration, innovation, and continuous improvement.
Strong technical decision-making abilities, prioritisation of tasks, and managing resources to meet project deadlines.
Collaboration Across Teams:
Proven ability to build strong partnerships with product, technology, and business stakeholders, actively listening to understand their needs and challenges and adjusting approach and thinking accordingly.
Personal Growth Mindset, Problem-Solving & Adaptability:
Adopt an AI-led development mindset by integrating AI tools and automation into the software development lifecycle, leveraging AI for code generation, testing, debugging, and optimisation to enhance productivity.
Deep interest in learning and adopting emerging technologies, particularly in the rapidly evolving AI and data landscape.
Proactive approach to problem solving, solution design and the development process as well as associated challenges.
Enjoy working in a fast paced and changing environment, with the ability to react and adapt quickly to changes.
Communication:
Ability to convey technical insights to both technical and non-technical stakeholders clearly and effectively.
Technical Skills
Data Architecture & Engineering:
Data architecture experience, designing scalable, high-performance data platforms to support data analytics, AI/ML data pipelines and batch/real-time data processing.
Expertise in defining data modelling strategies, data governance, and security best practices to ensure efficient data flow across systems.
Database Management and Optimisation:
Proficiency in managing Snowflake, PostgreSQL or similar tools, including schema design, query optimisation, and performance tuning.
Experience with vector databases for integrating vector embeddings.
Data Pipelines and Integration:
Expertise in creating and managing ETL/ELT pipelines to handle large-scale data ingestion and transformation.
Familiarity with DBT or similar tools.
Automation, AI/ML Models, Agents:
Hands-on experience deploying, fine-tuning, and integrating AI models (e.g., transformers, embeddings) into data platforms.
Knowledge of LangChain and or other frameworks.
Experience implementing AI agents for data collection and process automation.
Experience in retrieval-augmented generation (RAG) workflows.
Cloud and DevOps:
Understanding of cloud services with a focus on data storage, compute, and AI/ML integrations.
Familiarity with infrastructure-as-code (e.g., Terraform) and CI/CD pipelines for managing deployments.
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