Middle Data Engineer
UAE/Dubai
Listed on 2026-09-11
-
Software Development
Data Engineering, Python, Machine Learning/ ML Engineer
About the team
We are a focused engineering team of 5 to 9 people at a multi-product tech
SaaS company. We work across personalization, recommendation, frauddetection, and some GenAI, through real-time, near-real-time, and batchpipelines. The team is a blend of Python backend engineers, ML engineers, QA(manual and automation), a data engineer, and data scientists. Our sharedmandate is to take experimentation from our data scientists and turn it into robust, production-grade systems, either as standalone services or integratedinto wider platforms.
role
You will build the data pipelines that power our experimentation and production systems, the backbone behind fraud detection, recommendations,and personalization. You will work primarily with Kafka (sometimes Flink),Spark on Databricks, and Airflow, modelling and optimizing data for bothexperimentation and production serving, and partnering closely with data scientists and backend engineers on data contracts and reliability.
Responsibilities- Build and operate batch and streaming data pipelines (structured &unstructured data)
- Work primarily with Kafka, Spark on Databricks, and Airflow
- Model and optimize data for both experimentation and production serving
- Partner with data scientists and backend engineers on data contracts and reliability
- Own pipeline quality: testing, monitoring, and performance
- Take part in the teams on-call rotation for the pipelines you build and operate
- 3+ years of data engineering or software engineering for data
- Strong Python, including Py Spark
- Kafka and stream processing
- Databricks experience
- Airflow or similar orchestration tools
- Strong SQL and data modeling, plus solid relational database skills
- Software engineering mindset
- Flink
- ML Feature stores
- MLOps and ML pipeline exposure
- Docker and Kubernetes
- SaaS or high-scale product domain experience
- Work on high-scale, high-throughput systems
- Broad range of technologies, stacks, and problems
- Contribute to turning experimentation into production systems
- A strong engineering culture that values technical depth and ownership
- Flexibility through hybrid and remote working
- A distributed team across Dubai and Europe
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).