Data Engineer
maids.ccThis is a remote position.
Why Join maids.cc?
Technology-Driven Scale: maids.cc is a tech-driven company that employs 140+ Business Analysts and 100+ software engineers working in AI and tech from 8+ countries.
Fast Growth Path: A high-performance culture where impact is rewarded and growth is fast-tracked. 20% of our team members move into management within one year; one team member became CEO in just five years.
Hub for Talent: Techies from Microsoft, Meta, Alshaya, Gymshark, Murex, and CMA CGM have joined us. We’re also proud to have graduates from AUB, LAU, AUC, GUC and CU powering our operations.
Market Leader: With 26,000+ employees, we're the UAE’s #1 domestic worker provider and the second-largest employer in the country.
We are looking for a motivated and detail-oriented Data Engineer to join our data team. This role is ideal for someone eager to grow their career in an AI‐driven company to build and scale a data infrastructure that powers every decision.
What You’ll Do
Design and build the core data infrastructure. Develop and own data models and pipelines on Snowflake; create robust architectures that collect, store and process data to support analysis and decision‐making.
Ensure data quality and governance. Implement data quality monitoring systems and anomaly detection to validate source‐to‐target transformations.
Manage ingestion and transformation. Automate ingestion from APIs and internal systems, manage DBT projects, and orchestrate incremental pipelines.
Collaborate across the business. Partner with security, product and enterprise teams to align on data governance requirements and use data to inform product decisions.
Build analytics tools. Produce dashboards and internal tools that allow leadership to monitor performance and availability.
Solve complex problems. Think creatively to find optimal solutions to unstructured data challenges.
What We’re Looking For
BS/MS in Computer Science, Engineering or a related field.
0–3 years’ experience designing and building large‐scale data pipelines in cloud environments.
Proficiency SQL and Python; Experience integrating data across multiple systems, SnowFlake, and DBT is a plus.
Understanding of data products and how to support data science and machine‐learning initiatives.
Strong communication and documentation skills; ability to translate business problems into technical solutions.
What You’ll Get
Competitive salary and performance‐driven rewards.
Hands‐on experience with AI, automation and real‐world business systems.
A collaborative, data-driven culture where your work creates real impact, high performance is recognized, and career growth is accelerated.
Opportunity to learn from experienced Data Engineers.