Data Migration & Data Quality Specialist - Real Estate Systems

D-ploy

Job Overview

Location

Remote

Employment Type

Freelance

Work Arrangement

Remote

Sector

Information Technology & Software

Experience Level

Mid-level (3-5 years)

Application Deadline

May 2, 2026

About the Company

D-ploy is a dynamic IT and Engineering Solutions company with a significant presence across the EMEA region, including Switzerland, Germany, Czech Republic, Austria, and the UK, as well as operations in the USA.

The company is dedicated to delivering innovative and superior services and solutions to a diverse range of industry-leading clients. D-ploy focuses on building strong relationships and trusted partnerships within the IT community to optimize client IT productivity and contribute directly to organizational success and value.

D-ploy is actively seeking engaging, flexible, and solution-oriented individuals to join its growing international team. The company's mission is to create value where IT truly matters, fostering innovation through design thinking, agile methodologies, and lean approaches to product development. They are committed to developing customer-centered products and services.

Job Description

D-ploy is seeking a skilled Data Migration & Data Quality Specialist to join their team, focusing on real estate systems. This role is crucial for supporting the implementation of global real estate systems like SAP and Planon.

You will be responsible for analyzing source data from vendors, ensuring its completeness and consistency. This includes defining and executing data mapping between source and target systems, and developing transformation rules to align legacy data with new system requirements.

Key tasks involve validating data loads, identifying and resolving data defects, and supporting testing phases. The role requires a strong technical and analytical mindset, with the ability to work independently and collaborate effectively with global stakeholders.

Experience with data transformation tools, a high attention to detail, and strong communication skills are essential. While SAP experience is a significant advantage and Planon experience is highly valued, familiarity with real estate data domains is also a plus.

This is a full-time freelance position with a potential for extension, offering flexible working conditions and a competitive benefits package.

To apply for this role, click the Apply button on this page and follow the instructions.

Required Skills

Data MigrationData QualityData AnalysisSQLData MappingData TransformationSAPPlanonReal Estate Data

Key Responsibilities

Support the implementation of a global real estate system (SAP / Planon) through hands-on data migration and data quality activities.
Analyze source data provided by external vendors (e.g., CBRE), ensuring completeness, consistency, and usability.
Define and execute data mapping between source and target systems, including both field-level and value-level mappings.
Develop and apply data-driven transformation rules to align legacy data with target system requirements.
Validate data loads and ensure overall data readiness for SAP / Planon deployment.
Identify, document, and track data defects, inconsistencies, and missing inputs, ensuring timely follow-up and resolution.
Support testing phases, including data validation, reconciliation, and issue resolution.
Collaborate with global stakeholders while maintaining ownership of assigned data activities.
Work independently with a high level of accountability, ensuring deliverables are completed without the need for close supervision.
Participate in occasional on-site alignment meetings in Prague as required.

Qualifications

Proven experience in data migration, data quality, or data analysis within complex system implementations.
Strong technical and analytical mindset with a hands-on approach to data handling.
Proficiency in SQL and experience working with structured data sets.
Experience handling vendor-provided data extracts and understanding their structure and limitations.
Solid understanding of source vs. target system responsibilities within data migration processes.
Experience with data transformation tools or frameworks (e.g., PySpark, Databricks is a plus).
High attention to detail, with the ability to document issues clearly and follow through to resolution.
Ability to work independently, take ownership, and operate in a self-driven manner.
Strong communication skills and ability to collaborate in a global project environment.
SAP experience is a strong advantage; Planon experience is highly valued.
Experience in real estate data domains (e.g., lease, space, asset data) is a plus.
Familiarity with data quality tools (e.g., Attaccama) is a plus.
Willingness and ability to be based in the Czech Republic with occasional presence in Prague.
Candidates must declare criminal record extract not older than three months.

Benefits & Perks

Broad range of activities, tasks, and projects
Flexible working conditions
Minimum 5 weeks of vacation
Paid sick days
Meal vouchers
Vouchers (B-day voucher, wedding, and new born surprise)
Contributions to wellness programs (multisport card)
Fishing for Friends program – our referral program
Refreshments in the D-ploy office
Further development and professional advancement
Friendly and international working environment
Company-sponsored events
Competitive salary and various benefits

How to Apply

To apply for this role, click the Apply button on this page and follow the instructions.

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The real estate technology sector is experiencing significant growth, driven by the need for efficient data management in global property systems. This role focuses on critical data migration and quality assurance for SAP/Planon implementations, demanding expertise in SQL, data mapping, and transformation. Your impact will directly influence the accuracy and usability of real estate data, supporting strategic decision-making and enhancing system ROI. This position is pivotal for ensuring the integrity of legacy data as it integrates into modern enterprise solutions, contributing to organizational efficiency and value realization.