Lead impactful AI projects at a top-tier technology organization. Architect intelligent systems to unlock data value and enhance analytics. Collaborate in a dynamic hybrid work environment with growth opportunities.
Data And Integration Engineer
in Information Technology PermanentJob Detail
Job Description
Overview
- Drive innovation in enterprise AI and data integration engineering for a leading technology organization.
- Architect intelligent systems to transform structured and unstructured data into actionable insights.
- Collaborate with cross-functional teams to design and implement AI-powered analytics workflows.
- Utilize advanced technologies to automate data pipelines and enhance decision-making processes.
- Engage with cutting-edge tools and methodologies to stay ahead in AI analytics engineering.
- Contribute to a hybrid work environment, balancing remote flexibility with onsite collaboration.
- Leverage your expertise to drive efficiency and innovation in data engineering practices.
Key Responsibilities & Duties
- Develop and maintain cross-system data integrations using advanced frameworks and tools.
- Design AI-assisted workflows for data extraction, enrichment, and summarization.
- Orchestrate pipelines blending structured and unstructured data for analytics purposes.
- Automate testing, validation, deployment, and monitoring of analytics workflows.
- Collaborate with stakeholders to design solutions delivering measurable insights.
- Prototype and productionize AI-driven tools for natural language analytical queries.
- Document and scale best practices for automation and data reliability.
- Stay updated on emerging technologies in AI analytics and data engineering.
Job Requirements
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent experience.
- Minimum of 7 years of experience in data engineering, analytics automation, or systems integration.
- Proficiency in SQL, Python, and low-code iPaaS tools such as Workato or Power Automate.
- Experience with data pipelines, ETL/ELT workflows, and enterprise system integrations.
- Knowledge of APIs, webhooks, and system integration design patterns.
- Preferred experience with LLM frameworks, data warehouses, and BI tools.
- Strong communication skills for collaboration with technical and non-technical stakeholders.
- Familiarity with analytics engineering practices and data observability frameworks.
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