Senior Data Engineer – Cloud Data Platforms, Lakehouse

datavent.io

. Design and deliver batch or streaming pipelines integrating operational databases, APIs, files and event sources .

Posted 10/31/2026contractRemote • United Arab EmiratesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and delivering data pipelines, implementing lakehouse architectures, and ensuring data quality and reliability. Proficient in Python, SQL, and cloud environments, with strong communication skills for engaging with technical and business stakeholders.

Highest-signal resume keywords

PythonSQLData ModellingAWSCI/CD

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData TransformationDistributed ProcessingInfrastructure AutomationData Quality TestingTechnical DeliveryPerformance AssessmentCost Trade-offsVersion ControlOrchestration

Soft Skills

Clear CommunicationProblem Solving

Tools & Technologies

DbtAirflowDagsterApache IcebergSparkKafkaTerraformGoogle CloudSnowflakeDatabricks

Certifications & Qualifications

AWS Certification

Industry Keywords

Data PlatformsLakehouse ArchitectureOperational DatabasesAPIsEvent SourcesService ReliabilityTechnical ConsultingData FoundationsAI ApplicationsMonitoring

Tech Stack

Tools & technologies

AirflowApacheAWSCloudKafkaPythonSnowflakeSparkSQLTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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