About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Confidential Client is building the next generation of its data and analytics platform and is seeking an AI-native Data / AI Engineer (Stage) to design, build, and operate scalable data solutions in a Microsoft-centric cloud environment. You will help implement Medallion Architecture, create repeatable data pipelines, and enable analytics and AI use cases across the organization.

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Key Responsibilities

• Implement Medallion Architecture (Bronze → Silver → Gold): land raw data, validate/transform/enrich, and publish trusted data products for analytics and AI.
• Build and operate automated, observable data pipelines using Microsoft Fabric and Azure (including Azure Data Factory).
• Ingest data from APIs and enterprise systems into lakehouses and Azure SQL–based stores; design models to support reuse and ML/feature engineering.
• Develop data transformations and pipeline logic using SQL/T‑SQL, Python, PySpark/Spark.
• Work with Databricks (Azure Databricks preferred) when required for advanced processing.
• Use Git/GitHub (including GitHub Actions) for source control, code review, and CI/CD deployments.
• Leverage AI tools (e.g., Copilot) and support or develop agentic workloads (Copilot Agents, orchestration assistants, PR review bots) or actively learn agent patterns.
• Contribute to data governance: cataloging, lineage, security, and semantic modeling for downstream analytics (Power BI).
• Automate deployment and operational workflows with PowerShell or other scripting.
• Collaborate with cross-functional teams (analytics, ML, product, and ops) to deliver production-ready data products.

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Who You Are / Minimum Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a related field required.
• ~2–4 years of experience in data engineering, analytics engineering, or software development.
• Strong SQL skills and hands-on Python experience for data transformation.
• Practical experience with Microsoft Fabric (lakehouse, pipelines) and Azure Data Factory.
• Familiarity with Azure services (Azure SQL, Storage, APIs) and Databricks.
• Working knowledge of Git and basic CI/CD workflows (branching, PRs, automated checks/deployments).
• Interest or experience building AI agentic workloads and using AI-assisted development tools.

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Preferred / Nice-to-Have

• Experience with Power BI semantic models or tabular modeling.
• Hands-on experience with Azure Databricks.
• Experience implementing observability and monitoring for data pipelines.
• Prior exposure to enterprise data governance (cataloging, lineage, security).
• Comfortable using GitHub Actions or similar CI/CD automation.
• Experience with PowerShell for automation of deployment and operations.

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Physical, Travel & Other Requirements

• Must be able to lift at least 15 lbs; occasional moving, bending, or climbing may be required to position or maintain equipment.
• Ability to travel locally and work occasional overtime or weekends when business needs require.
• Minimum levels of auto insurance coverage are required for certain role duties.
• Candidates must be legally authorized to work in the United States without sponsorship, except for qualified bilingual candidates in Japanese/English or Chinese/English where noted by the client.

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Compensation & Benefits

• Compensation is determined by multiple factors including responsibilities, education, experience, skills, and geography. Early-career roles may have standardized, market-based starting salaries within the hiring group.
• Typical benefits (subject to client eligibility): health, dental, vision, disability, life insurance; Flexible Time Off; 401(k) plan; flexible benefits plans; business travel reimbursement; and discretionary bonus programs. Other client-specific benefits (e.g., pension plan for eligible staff, contingent-staff insurance options) may apply.

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Why Join

• Work on modern data platforms and AI-first projects using Microsoft Fabric, Azure, and Databricks.
• Join a collaborative environment that emphasizes professional growth, learning, and a supportive culture.
• Opportunity to design and deliver data products that enable analytics and ML at scale.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.