Data Engineer
Dubai, Dubai, United Arab Emirates
Full Time
2 hours ago
No Sponsorship
Key skills
AWSCloudETLMongoDBPostgresPySparkPythonSQLAIELTData EngineeringAnalyticsBIBusiness IntelligenceSnowflakeS3GluePostgreSQLPerformance OptimizationSaaSSalesforce
About this role
Role Overview
- Build and maintain scalable data pipelines and infrastructure using Snowflake, AWS Glue, and modern ETL/ELT frameworks.
- Integrate data from platforms such as Salesforce, Mixpanel, Segment, Customer.io, Intercom, Google Analytics, and LinkedIn Ads.
- Develop reliable data models, warehouses, and data lakes to support reporting and analytics.
- Implement data quality, monitoring, governance, and security best practices.
- Build AI-powered self-service analytics capabilities for business users.
- Partner with Product, Marketing, Revenue Operations, and BI teams to deliver impactful data solutions.
- Optimize platform performance, reliability, and cost efficiency.
Requirements
- 5+ years of Data Engineering experience.
- Strong expertise in Snowflake, including architecture, performance optimization, governance, and security.
- Experience with AWS Glue (PySpark), ETL/ELT pipelines, and workflow orchestration.
- Advanced SQL and Python skills.
- Experience with PostgreSQL, MongoDB, Amazon S3, and modern cloud data architectures.
- Strong understanding of data modelling, warehousing, and analytics engineering practices.
- Experience integrating SaaS platforms and customer, product, marketing, or revenue data.
- Knowledge of data governance, privacy, and compliance frameworks such as GDPR.
- Strong problem-solving skills, ownership mindset, and attention to detail.
Tech Stack
- AWS
- Cloud
- ETL
- MongoDB
- Postgres
- PySpark
- Python
- SQL
Benefits
- Grow Your Career: Take ownership of our modern data platform and work on high-impact projects spanning analytics, AI, and business intelligence.
- International Environment: Join a dynamic, international team (40+ nationalities) in a fast-growing scale-up where your work directly influences business outcomes.
- AI-First Company: We embrace AI in both our product and internal operations. You'll gain hands-on experience with AI-powered analytics and emerging data technologies.
- Learning & Development: Access continuous coaching, learning opportunities, and the freedom to explore new technologies and best practices.
- Hybrid Working Policy: 3 day on-site / 2-day Work from Home (WFH) split.