Logo for Apricot

Data Engineer

Role overview

Qualifications

  • 3-4 years of professional Data Engineering experience
  • Experience with cloud Data Warehouses (BigQuery or Snowflake) and the AWS ecosystem
  • Strong proficiency in SQL (complex query optimization) and Python
  • Strong written and verbal communication in English (B1+)

Responsibilities

  • Own the design and maintenance of scalable data models across the data warehouse and data lakes
  • Build, optimize, and monitor batch and real-time ETL/ELT pipelines and automation workflows
  • Partner with BI and analytics stakeholders to tune complex SQL queries and enable fast, reliable reporting
  • Use data governance, lineage, and Master Data Management practices to improve data quality and integrity

About the company

Apricot logo

Apricot

Apricot is a a non profit sourcing firm working with displaced and underserved talent from MENA. We are product and tech leaders at Fortune 50 companies who have come together to create a vibrant community of top-tier talent; a dedicated group of non-profiteers working both inside and outside the communities we are a part of and represent. With our experience in building successful startups, we are now on a mission to help others achieve the same success. By using our proven methods and a hands-on approach, we are opening doors for new tech talent and creating opportunities for growth and innovation.

Company details

Company size11 - 50

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

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.




Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Data Engineer Related jobs

Other jobs at Apricot

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.