Data Intelligence Automation Engineer

We are:
Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve

 

Are you a fit?
Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:

Key Responsibilities

• Architect and Build the Core Knowledge Base (KB): Design, build, and maintain a centralized, version-controlled knowledge base (in platforms like Atlan, GitHub, or Snowflake) that meticulously maps raw context variables (client-side/application layer) to their corresponding final fields in analytics platforms (Adobe Analytics, Google Analytics 4, etc.).
• Develop Intelligent Agents: Leverage the centralized knowledge base to engineer and deploy interactive applications, chatbots, or agents that can:
     -Recommend engineering specifications for new features based on patterns from previous successful implementations.
     -Provide immediate context and documentation to engineers and product managers on data variables
     -Assist in real-time root cause analysis for data-related issues.
• Establish QA Automation: Design and implement a scalable, automated QA framework and toolset to test data collection workflows end-to-end, integrating validation checks directly into the continuous integration/continuous deployment (CI/CD) pipeline.
• Set Governance Standards: Define and enforce data governance standards, metadata practices, and documentation requirements for the new Knowledge Base and automation assets.
• Technical Leadership: Act as a technical subject matter expert for the development teams, collaborating on the integration of the new tools and systems into the existing technology stack (web, mobile, OTT).

 

Must-have Skills:

• 7+ years Development & Programming: Strong experience in software development, with proficiency in languages like Python (for automation/agent development) and/or JavaScript/Node.js (for web integration/tooling).
• 7+ years SQL & Cloud Data Warehouse Experience: Expert-level SQL skills and experience working with cloud data warehouses (e.g., Snowflake, BigQuery) for data ingestion, querying, and validation.
• 4+ years Data Modeling & Architecture: Demonstrated ability to design robust and scalable data models, schemas, and relational structures for knowledge repositories.
• QA Automation: Proven experience in building and deploying automated testing solutions, preferably in the data or digital analytics space (e.g., using frameworks like Cypress, Playwright, or custom validation libraries).
• Technical Documentation: Experience creating technical documentation for internal developer tools and data pipelines, emphasizing clarity and accuracy.
• Digital Analytics Concepts: Solid understanding of digital product data tracking concepts, including client-side variables, event structures, and the final data schemas of major platforms (Adobe Analytics/GA4).
• Version Control: Proficiency with Git and GitHub/GitLab workflows.

 

Nice-to-have:

• AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
  

   

• Familiarity with Large Language Models (LLMs), GenAI, or knowledge retrieval architectures (RAG) for building intelligent recommendation systems.

• Experience with data cataloging/governance platforms such as Atlan, Collibra, or Alation.

• Experience in the media industry.

   

• Familiarity with the software development lifecycle (SDLC) from a tooling and automation perspective.

   

 

What we offer:

• A High-Impact Environment
• Commitment to Professional Development
• Flexible and Collaborative Culture
• Global Opportunities
• Vibrant Community
• Total Rewards

*Specific benefits are determined by the employment type and location.

Find out more about our culture here.