Senior Data Engineer – Cloud Data Platforms, Lakehouse

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🔥 0 minutes ago

🇦🇪 United Arab Emirates (UAE) – Remote

⏳ Contract/Temporary

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 15%

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datavent.io

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2024

🤝 B2B

🤖 Artificial Intelligence

💼 Consulting

B2B • Artificial Intelligence • Consulting

datavent. io is a B2B data engineering and platform consulting firm that builds cloud-native, AI-ready data platforms and lakehouse architectures for analytics and production AI. They deliver end-to-end services — architecture, ingestion, transformation, modeling, MLOps/RAG pipelines, vector stores/feature stores, and ongoing platform stewardship — on customers' clouds and stacks (AWS, GCP, Azure, Snowflake, Databricks or on-prem) with a no-vendor-lock-in approach. The company emphasizes production outcomes (ship production pipelines, not prototypes), rapid delivery, and integrations across many data sources for enterprises in industries like banking, telecom, manufacturing and B2B SaaS.

📋 Description

• Design and deliver batch or streaming pipelines integrating operational databases, APIs, files and event sources • Build maintainable data models and transformations for analytics, governed metrics and AI applications • Implement lakehouse or warehouse architectures, including storage formats, partitioning and processing strategies • Establish data quality tests, orchestration, lineage, monitoring and recovery procedures • Investigate incidents and remove recurring causes • Manage infrastructure and deployments through version control, infrastructure as code and CI/CD • Apply appropriate access controls • Lead technical delivery with customers and colleagues • Review code and document operational and extension decisions • Combine implementation with platform architecture and practical technical consulting

🎯 Requirements

• Substantial experience delivering and operating production data platforms, including responsibility for technical decisions and service reliability • Strong Python and SQL • Sound data modelling • Practical understanding of distributed processing and orchestration • Depth in at least one major environment such as AWS, Snowflake, Databricks or Google Cloud • Ability to assess technology alternatives • Experience with dbt, Airflow or Dagster • Experience with testing, Git, CI/CD and infrastructure automation • Ability to explain performance and cost trade-offs • Ability to scope a deliverable • Clear communication with technical and business stakeholders in English • Experience with Apache Iceberg, Spark, Kafka, Terraform or data foundations for RAG and AI agents is valuable • AWS or other relevant certifications support the application, but delivery evidence matters most • Applicants must submit a CV, location and availability • Must describe one production platform owned, individual contribution and a measurable improvement or resolved operational problem

🏖️ Benefits

• 3-month contract • 3-month probation period • 1 day of annual leave • Direct collaboration with founders • Opportunity to influence reusable delivery patterns • Practical technical consulting and platform architecture exposure

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