We are currently looking for a Data & Integration Consultant to support our client which is a global investment organization with a strong track record of developing companies across industries and geographies. It has a collaborative, values-driven culture focused on empowering people and creating long-term business impact.
The project focuses on the end-to-end migration of employee data from Dayforce to Workday, covering active and terminated employees, organizational structures, employment history, and compensation data. It includes building reliable and repeatable data pipelines, mapping source data to the client’s standards, and ensuring data quality through reconciliation and documented exception handling. The solution is supported by comprehensive documentation, enabling the client’s teams to independently understand, maintain, and re-run the migration process.
Project duration: 10 weeks
Start: ASAP
Location: hybrid (2 days per week at Warsaw's office)
We offer
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Dedicated Agent support – your go-to person for project continuity, client communication, day-to-day administration, and long-term professional development.
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Access to Darize Learning & Development – our internal development platform featuring webinars, industry reports and articles, access to learning platforms such as DataCamp and Coursera, and regular invitations to technical, business, and lifestyle events.
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Community and networking events – from Kick-Off trips, Christmas celebrations, and Summer Sport Games to family picnics and cultural events for you and your loved ones.
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Consultant Development Program – personalized professional development support based on current industry trends and market needs, delivered by experienced mentors and development advisors.
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Comprehensive benefits package – including private healthcare, life insurance, a sports card for you and your family members, as well as access to employee discounts in Poland and abroad.
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A community of experienced IT experts – exchange knowledge and collaborate with technology professionals who bring years of hands-on experience delivering complex technology projects (the average professional experience of our consultants in Poland exceeds 10 years).
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Design and develop scalable, reliable data pipelines between the two HR systems, ensuring high data accuracy and consistency.
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Implement and maintain API-based integrations, data ingestion processes, and connectors across the relevant systems.
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Collaborate with the client’s HR stakeholders to define mapping and seed files that align source data with the client’s standards.
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Manage the end-to-end migration process, including planning, timeline coordination, execution, progress tracking, and reporting.
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Troubleshoot complex integration and data quality challenges, identify root causes, and implement sustainable solutions.
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Work closely with HR, technology, and business stakeholders to translate business requirements into effective technical solutions.
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Provide guidance on data modelling and integration best practices, while creating clear documentation for both technical and non-technical audiences.
Requirements
- Demonstrated experience in developing and implementing ETL/ELT pipelines in a professional environment.
- Advanced SQL and Python skills applied to data engineering tasks.
- Practical experience in building and working with API integrations and data connectors.
- Strong knowledge of data modelling concepts and data architecture principles.
- Experience leading or playing a key role in data migration projects, preferably involving HR systems.
- Proven ability to troubleshoot and resolve complex integration challenges across multiple systems.
- Excellent documentation skills, combined with the ability to work independently with both technical and business stakeholders.
- Nice to have experience with Workday data loads and Dayforce data extraction.
- Nice to have HR data migration experience, including employment and compensation history.
- Nice to have familiarity with cloud data platforms.
- Nice to have experience in technical project delivery and advising stakeholders on data architecture.
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