{bc}
Apply
linkedin

Sr. Data Engineer

Algebra AI
Dubai, UAE
Full Time
Senior
1 months ago
SQLData ModelingETL/ELTOrchestrationAPIsCloud Data Infrastructure
Free

Job Fit Check

Base Career helps you apply smarter for this job.

?%
Ready to Scan

Key skills for this role

SQLData ModelingETL/ELT
Smart Apply

Full Job Posting

The Role

  • This is a senior data engineering role for someone who can turn messy business data into the foundation for reliable AI workflows.
  • Algebra’s agents are only as good as the data layer underneath them. You will build the pipelines, models, integrations, and data infrastructure that allow our systems to understand client operations, surface the right context, and take action inside real business processes.
  • You need to be strong enough technically to design the data architecture, but practical enough to work inside imperfect client environments.
  • This is a builder role. You will help define the data patterns, standards, and infrastructure Algebra uses as it scales from custom client deployments into repeatable systems.

Data Infrastructure and Pipelines

  • Build production grade data pipelines that support Algebra’s AI powered workflows
  • Design data ingestion patterns across client systems, APIs, databases, spreadsheets, documents, and third party tools
  • Build transformation logic that turns fragmented operational data into usable workflow context
  • Own data movement across staging, production, and client specific environments
  • Set up orchestration, scheduling, monitoring, and failure handling for critical data flows
  • Create reusable data pipeline patterns for repeatable client deployments

Data Modeling and Workflow Context

  • Design data models that represent real business workflows, entities, rules, and operational states
  • Build the structured data layer that allows AI agents to reason over client operations
  • Translate messy business processes into clean schemas, relationships, and workflow ready data structures
  • Support use cases such as document intake, reconciliation, approvals, reporting, exception handling, and operational alerts
  • Work closely with application and AI engineers to make sure data is usable inside actual product experiences
  • Build systems that preserve context, lineage, and auditability where required

Integrations and Data Sources

  • Connect to client systems, CRMs, ERPs, databases, finance tools, communication platforms, and document repositories
  • Build reliable API integrations, sync jobs, webhooks, and ingestion workflows
  • Handle authentication, permissions, data mapping, schema changes, and integration failure states
  • Work with unstructured and semi structured data, including PDFs, documents, emails, spreadsheets, and extracted fields
  • Debug production data issues across pipelines, APIs, databases, and client systems
  • Make data integrations repeatable instead of rebuilding every connection from scratch

Data Quality, Governance, and Reliability

  • Build checks for data quality, completeness, freshness, duplication, and consistency
  • Set up monitoring and alerting for data pipeline failures and data reliability issues
  • Create practical data governance standards for client deployments
  • Support secure handling of sensitive operational, financial, and client data
  • Maintain clear data lineage, audit trails, and access control where needed

What We’re Looking For

  • 10+ years of experience in data engineering, analytics engineering, platform data engineering, or backend data systems
  • You have built and operated production data pipelines used by real systems, not just dashboards
  • Strong experience with SQL, data modeling, ETL/ELT, orchestration, APIs, and cloud data infrastructure
  • Experience with modern data warehouses, databases, and transformation frameworks
  • You understand how to work with messy operational data, not only clean analytics datasets
  • You can design data models that reflect real business entities, processes, rules, and exceptions
  • You are comfortable working with structured, semi structured, and unstructured data
  • You understand data quality, lineage, access control, monitoring, and production reliability
  • You can debug complex issues across source systems, pipelines, transformations, APIs, and application logic

Bonus Points

  • You have built data infrastructure for AI, automation, LLM, or agent based systems
  • You have experience with vector databases, embeddings, retrieval systems, or knowledge graphs
  • You have worked with document processing, OCR, data extraction, reconciliation, or human in the loop review workflows
  • You have built integrations with systems like Salesforce, HubSpot, Zoho, Microsoft 365, Google Workspace, Slack, Teams, SharePoint, NetSuite, SAP, Oracle, or finance/ERP tools
  • You have experience with dbt, Airflow, Dagster, Prefect, Kafka, Snowflake, BigQuery, Redshift, Postgres, or similar tools
  • You understand multi tenant data architecture, role based access control, audit logs, and client specific data separation

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at Algebra AI

Director, Finance & Corporate Development

Dubai, UAE

1 months agoFull Time

Sr. Cloud / DevOps Engineer

Dubai, UAE

1 months agoFull Time

Sr. Applications Engineer

Dubai, UAE

1 months agoFull Time

MBA Strategy Intern

Dubai, UAE

1 months agoInternship