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# Data Migration Specialist (SQL & DMS)

- **Company:** Nextlane
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Databases, Data Cleansing, Extract Transform Load (ETL), Data Migration, Data Security, Database Queries, Office Suite, Pivot Tables, Query Optimization, SQL Databases, Legacy Systems
- **Published:** July 2, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=0f095d910a7099b4

## About the Role

All weekend work is planned, with at least 2 weeks' notice. Overtime is either compensated financially or can be recovered as time off, in accordance with company policy.

️ ️ What We're Looking For:

 * Experience: Previous experience in data migration projects or database management.
Previous experience with DMS and ERP systems is highly valued (e.g., SerAuto, iCar, DataCar, Autoline, Quiter, etc.).

 * Languages: Native Spanish or Portuguese speaker, with a strong understanding of both languages. Intermediate to advanced English proficiency (B2 level or higher).

 * Communication: Strong communication skills, both verbal and written.
 * Technical Skills:
 + Strong SQL skills, including complex queries, joins, and basic query optimization.
 + Advanced Microsoft Excel skills, including pivot tables, formulas, and data analysis.
 + Knowledge of ETL tools or similar technologies (preferred).
 + Strong analytical skills and attention to detail.
 + Ability to work effectively in multicultural environments.
 * Interpersonal Skills: Ability to collaborate in a diverse and dynamic environment.

## Description

As a key member of the team, you will be responsible for:

 * Execute data migration processes between legacy systems and modern platforms.
 * Query, analyze, and manipulate databases using SQL.
 * Design and validate ETL (Extract, Transform, Load) processes.
 * Perform data cleansing, validation, and reconciliation activities.
 * Document migration processes and results.
 * Coordinate with technical and business teams to ensure functional requirements are met.
 * Identify and resolve data quality issues and incidents.
 * Use office productivity tools such as Microsoft Excel (advanced level) for analysis and reporting.
 * Ensure compliance with data security and data protection standards.


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