Mid-level Data Engineer

About the role

We are looking for a Mid-level Data Engineer to design, build, and operate the data pipelines that power our experimentation, fraud detection, recommendation, and personalization systems. You will work closely with data scientists and backend engineers to turn research prototypes into reliable, production‑grade services.

Key responsibilities

• Develop and maintain batch and streaming pipelines handling structured and unstructured data.
• Work primarily with Kafka, Spark on Databricks, and Airflow for data ingestion, processing, and orchestration.
• Model and optimise data for both experimentation and production serving.
• Collaborate on data contracts and reliability with data scientists and backend engineers.
• Ensure pipeline quality through testing, monitoring, and performance tuning.
• Participate in on‑call rotation for the pipelines you own.

Required profile

• 3+ years of experience in data engineering or software engineering for data.
• Strong Python skills, including PySpark.
• Hands‑on experience with Kafka and stream processing.
• Proficiency with Databricks and Airflow (or similar orchestration tools).
• Solid SQL, data modelling, and relational database expertise.
• Software‑engineering mindset with focus on code quality and scalability.

Required skills

• Python
• PySpark
• Kafka
• Spark (Databricks)
• Airflow
• SQL
• Data modelling
• Relational databases

What we offer

• Work on high‑scale, high‑throughput systems.
• Exposure to a broad range of technologies and problem domains.
• Opportunity to turn experimentation into production‑ready services.
• Strong engineering culture that values technical depth and ownership.
• Hybrid and remote working flexibility.
• Distributed team across Dubai and Europe.