Job Title: Data Onboarding Engineer
Employment Type: Remote / Project-Based (with potential for full-time role)
Job Location: Remote (Flexible)
Department: Data Engineering / Client Delivery
Number of Vacancies: 1
Job Context
MIAKI is an organization with skillful resources that are relentlessly working to make a difference in the spectrum of Tech & Digital Services. As a Multi-Country Service Provider, we specialize in developing customized software, data-driven solutions, and digital transformation services while providing outsourcing support for skilled resources in both local and international markets.
We are looking for a Data Onboarding Engineer to lead the technical onboarding and data integration process for new clients. The role involves connecting diverse data sources, transforming and validating datasets, and ensuring seamless integration into the client’s unified data schema for analytics and business intelligence.
This is a remote, project-based role (typically 2–3 weeks per client) with fast compensation and the potential for full-time growth based on performance.
Role & Responsibilities
Learn & Understand
Develop a comprehensive understanding of each client’s data structure, schema, and onboarding process.
Understand how data is consumed for analytics and ensure the required inputs are accurately prepared and standardized.
Client Discovery & Project Ownership
Participate in client onboarding and discovery meetings to understand existing systems, databases, file structures, and reporting flows.
Document all relevant data sources (ERP, Excel, production, procurement, etc.) and their relationships.
Design a data onboarding plan, identifying key tables, fields, and mappings required for integration into the client’s target schema.
Data Integration & Transformation
Connect to client data sources (ERP, SQL Server, Excel, APIs, etc.).
Build and maintain data extraction and transformation pipelines using SQL, dbt, and Python.
Clean, structure, and align datasets across multiple domains such as sales, inventory, procurement, and logistics.
Validation & Quality Assurance
Reconcile transformed data against client reports to ensure accuracy and completeness.
Investigate discrepancies, adjust transformation logic, and implement automated validation checks.
Maintain consistent data quality throughout all stages of onboarding.
Documentation & Standardization
Record mapping logic, assumptions, and transformation methodologies for transparency and reuse.
Develop reusable templates and onboarding standards to accelerate future client integrations.
Requirements
Educational Requirements
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related discipline.
Experience Requirements
Minimum 3+ years of experience in data integration, ETL, or data engineering roles.
Technical Skills
Advanced proficiency in SQL (joins, window functions, aggregations, and optimization).
Strong experience with dbt for transformation and data modeling.
Hands-on proficiency in Python for ETL automation, data validation, and scripting.
Solid understanding of ERP and operational data structures (sales, inventory, manufacturing, logistics).
Familiarity with AWS, PostgreSQL, or Snowflake environments.
Experience integrating data via APIs, Excel files, and relational databases.
Strong analytical mindset and attention to data accuracy.
Soft Skills
Excellent communication skills for working directly with client IT and operations teams.
Highly organized, independent, and detail-oriented.
Strong time-management skills to handle multiple projects simultaneously.
Proficiency in English and/or Spanish is preferred.
Compensation & Benefits
Fast project-based compensation with potential for a full-time transition.
100% remote and flexible work environment.
Exposure to international clients and large-scale data integration projects.
Opportunity to work on advanced data engineering and automation practices.
A culture that values collaboration, ownership, and innovation.
Application Process
Interested candidates are encouraged to apply with their updated CV.