Data Engineer

3 days ago

Riyad Al Khabra, Saudi Arabia ClearGrid Full time

About ClearGrid

ClearGrid is revolutionizing the debt resolution industry with cutting-edge AI and advanced analytics. We leverage real-time data, machine learning, and automation to optimize debt recovery for financial institutions. As we expand across the UAE and KSA, we are seeking a Data Engineer to build and scale our data infrastructure, ensuring seamless data flow, high-performance analytics, and AI-driven decision-making.

Role Overview

The Data Engineer will play a crucial role in designing and optimizing our data pipelines, integrating AI models, and enabling advanced analytics. You will work with high-velocity financial data, ensuring efficient storage, transformation, and real-time processing. This role is perfect for someone who thrives at the intersection of large-scale data engineering, AI, and cloud computing.

Key Responsibilities
  • Data Pipeline Architecture: Design, build, and maintain scalable ETL/ELT pipelines that handle real-time and batch processing of large-scale financial data.
  • AI-Driven Data Processing: Collaborate with data scientists and ML engineers to integrate machine learning models into production systems.
  • Cloud & Big Data Technologies: Optimize data storage and retrieval across cloud platforms like AWS, GCP, or Azure using tools like Snowflake, BigQuery, or Redshift.
  • Streaming & Real-Time Analytics: Implement streaming data architectures using Apache Kafka, Apache Flink, or Spark Streaming for instant insights and decision-making.
  • Data Security & Compliance: Ensure compliance with SAMA, UAE Central Bank, and global data security standards, implementing encryption, anonymization, and access control policies.
  • Infrastructure as Code (IaC): Automate infrastructure deployment and management using Terraform, CloudFormation, or Kubernetes.
  • Performance Optimization: Continuously enhance data ingestion, transformation, and retrieval processes to maintain sub-second query performance.
  • Data Quality & Governance: Develop monitoring, anomaly detection, and data validation frameworks to ensure high data integrity.
  • Collaboration: Work cross-functionally with engineering, product, and compliance teams to drive data-first decision-making.
Requirements
  • Experience: 5+ years in data engineering, big data, or cloud data architecture.
  • Tech Stack: Expertise in Python, Scala, or Java for data processing, and SQL for complex querying.
  • Big Data & Streaming: Hands-on experience with Apache Spark, Kafka, Flink, or similar frameworks.
  • Cloud Expertise: Proficiency in AWS (S3, Glue, Lambda, Redshift), GCP (BigQuery, Dataflow), or Azure (Synapse, Databricks).
  • Database Skills: Strong experience with both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases.
  • AI & ML Integration: Experience working with ML models in production is a plus.
  • Security & Compliance: Knowledge of financial data security practices, GDPR, and regulatory compliance in fintech.
  • Automation & DevOps: Experience with CI/CD pipelines, Docker, and Kubernetes for data infrastructure.
  • Language: Fluent in English; Arabic is a plus.
  • Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
Why Join ClearGrid?
  • Build cutting-edge AI-powered data infrastructure in fintech.
  • Work with a fast-growing startup that values innovation, automation, and scalability.
  • High-impact role with autonomy to shape data-driven strategies.
  • Competitive salary, stock options, and performance-based incentives.
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