At Kin Analytics, we believe that the true value of data lies in the stories we tell with it. Every data point holds a story waiting to be discovered and shared. As a data analytics consultancy, our mission is to deliver impactful, game-changing solutions that power the world’s decision-making. We turn data into knowledge-driven stories through collective intelligence and collaboration.

Our talent synergies make us unique and help us build an awesome place to work. The idóneo candidate’s favorite words are efficiency, automation, and scale. We're looking for an experienced Senior Data Engineer to join Kin Analytics on a 5-month project, leading the design, implementation, and governance of a modern enterprise data platform on Microsoft Fabric.

This role blends hands-on data engineering with architectural ownership — defining how data is modeled, integrated, governed, and made trustworthy to support analytics and AI-driven decision-making across the business.

Requirements

- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
- 5+ years of experience in Data Engineering and Data Architecture roles
- 1+ years of experience with Microsoft Azure data technologies
- Hands-on experience with Microsoft Fabric, including Data Factory, Lakehouse, Data Warehouse, OneLake, Real-Time Intelligence, Semantic Models, and Power BI integration
- Strong knowledge of ETL/ELT frameworks and data integration methodologies
- Extensive experience with SQL and data modeling techniques
- Experience implementing enterprise data governance and data quality frameworks
- Solid understanding of metadata management, lineage, cataloging, and master data management (MDM)
- Experience with Python, Spark, PySpark, and distributed data processing frameworks




- Experience with Agile delivery methodologies

Nice to Have

- Microsoft Certified: Fabric Analytics Engineer Associate (DP-700)
- Microsoft Certified: Azure Data Engineer Associate (DP-203)
- Experience with Purview or other data governance platforms
- Familiarity with Databricks, Snowflake, or similar modern data platforms
- Knowledge of machine learning and AI data pipelines
- Experience leading enterprise-scale data transformation initiatives
- Knowledge of Data Mesh and Data Products concepts
- Experience with data observability and monitoring tools
- Exposure to Generative AI and AI-enabled analytics platforms
- Knowledge of CI/CD, DevOps practices, and Infrastructure as Code

Key Responsibilities Data Architecture & Platform Design

- Design and implement scalable, secure, high-performance data architecture using Microsoft Fabric
- Define data models, integration patterns, and data lifecycle strategy aligned to business needs
- Architect Lakehouse, Data Warehouse, and Medallion patterns to support analytical and operational workloads
- Establish best practices for data storage, metadata management, and accessibility

Data Engineering & Integration

- Build and maintain ETL/ELT pipelines using Microsoft Fabric Data Factory and related tools
- Design and optimize ingestion for structured, semi-structured, and unstructured data sources




- Build scalable solutions for batch and near real-time processing
- Ensure pipeline reliability, performance, and maintainability

Data Governance & Quality

- Define and implement enterprise data governance frameworks, policies, and controls
- Lead data quality initiatives: profiling, validation, cleansing, monitoring, remediation
- Establish metadata management, lineage, MDM, and data stewardship processes
- Ensure compliance with security, privacy, and regulatory requirements

Analytics & Business Enablement

- Partner with business stakeholders and analysts to deliver data-driven solutions
- Enable self-service analytics and support advanced reporting environments
- Support AI/ML initiatives by ensuring trusted, high-quality data assets

Leadership

- Provide technical guidance and mentorship to data engineers on the project
- Promote architecture standards and engineering best practices across the team

What Success Looks Like By the end of the engagement, this person will have:

- Delivered a working Fabric-based data platform (Lakehouse/Warehouse) supporting priority analytics use cases
- Stood up core data governance practices — lineage, quality checks, metadata standards — that the team can sustain after the project ends
- Left clear documentation and a knowledge-transfer plan, given the temporary nature of the engagement
- Built trust with business stakeholders as a reliable, high-impact technical partner

Kin Analytics is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome all qualified applicants regardless of race, color, religion, gender identity, sexual orientation, national origin, age, disability, or veteran status.

📌 Senior Data Engineer - 5 Month Contract (Lima)
🏢 Kin Analytics
📍 Lima