Build and scale the data backbone for HR, payroll, finance, and insurance products. Design data models across warehouses and data lakes, develop and optimize batch and real-time ETL/ELT pipelines, improve data quality and governance, tune SQL queries, address data integration gaps, and collaborate with engineering, BI, analytics, and business stakeholders.
This is a remote position.
Organization: Confidential client in HR industry; subject to client confidentiality requirements
Location: Remote - open to candidates in Egypt, Jordan, Lebanon, Palestine, or Oman
Role Type: Full-time | Consultant-contractor | Fixed term (12-18 months)
Reports to: To be confirmed
The opportunity
Our client is looking for a Middle+ Data Engineer to build and scale the data backbone behind their HR, Payroll, Finance, and Insurance products. In this role, you will design data models, build and optimize ETL/ELT pipelines, and strengthen data quality and governance, collaborate with engineering and BI stakeholders, and help deliver unified, trustworthy data across the platform.
About the organization
Our client is a UAE-based HRTech scale-up transforming workplace operations across HR, Payroll, Finance, and Insurance in the MENA region. It helps employers and employees manage the full workplace lifecycle through a unified platform. The data team is currently focused on maturing the organization's data warehouse, governance, and reporting infrastructure to support the company's continued growth.
What you will do
- Own the design and maintenance of scalable data models (3NF, Dimensional, Data Vault) across the data warehouse and data lakes.
- Build, optimize, and monitor batch and real-time ETL/ELT pipelines and automation workflows to standards of reliability and performance.
- Partner with BI and analytics stakeholders to tune complex SQL queries and enable fast, reliable reporting.
- Use data governance, lineage, and Master Data Management (Customer 360) practices to improve data quality and integrity.
- Identify and address gaps in data integration across external and internal sources.
- Communicate progress, priorities, and trade-offs clearly to engineering and business stakeholders.
What you bring
- Demonstrated ability to design and optimize complex data models and pipelines, shown through 3-4 years of professional Data Engineering experience.
- Experience with cloud Data Warehouses (BigQuery or Snowflake) and the AWS ecosystem, or a closely related equivalent.
- Strong written and verbal communication in English (B1+).
- The ability to work independently and collaboratively across distributed, cross-functional teams.
- Strong proficiency in SQL (complex query optimization) and Python.
Helpful, but not essential
- Exposure to HRTech, fintech, or insurance domains.
- Experience in startup or scale-up environments.
- Familiarity with BI and data visualization tools such as Looker or Superset.
How the engagement works
Contracting party: You will contract directly with Apricot, which will manage contracting, invoicing/payroll, payments, and administrative support. Day to day, you will work with the client's data and engineering teams and report to the Data/Engineering Lead.
For this consultant/contractor engagement, your work will be based on the agreed scope and deliverables. You are expected to provide your own laptop and basic equipment, maintain reliable connectivity and a secure working environment, and follow required security controls, including two-factor authentication.
Any client-provided specialized equipment, leave, stipend, wellbeing benefit, or other support will be stated separately as an approved exception.
Planned check-ins are at month 1 and month 3 to see how the engagement is working and help address issues.
About Apricot
Apricot is a nonprofit sourcing firm connecting displaced and underserved professionals from Palestine and the wider MENA region with global employment opportunities. We combine a clear social-impact mission with fast, high-quality recruitment delivery for international clients.
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