Bayzat

8 months ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Reposted: first listed 1 week ago

Job Summary

Design and own end-to-end data infrastructure by building scalable data models, reliable ELT/ETL pipelines, and high-quality data across data warehouses and data lakes. Monitor pipeline health and promote data quality using practices like Data Fitness, Data Lineage, Governance, and Stability. Tune warehouse queries for faster BI reporting, integrate customer data via Master Data Management (Customer 360), and build automation workflows and integrations. Collaborate with stakeholders to improve the full data lifecycle.

Location: Anywhere

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design scalable data models for collection in the data warehouse.
•Ingest and store data from existing and new sources into data warehouses and data lakes.
•Build ELT/ETL solutions for batch and real-time processing, and maintain/monitor pipeline health.
•Promote data quality using data fitness, lineage, governance, and stability practices.
•Improve query performance for reliable BI reporting and integrate customer data using Customer 360.

Key Requirements

•3-4 years of relevant experience as a data engineer.
•Experience writing and optimizing complex SQL queries.
•Programming experience in Python.
•Experience managing data warehouses such as BigQuery or Snowflake.
•Hands-on with ETL pipelines/frameworks (e.g., Airbyte, AWS Firehose, Airflow, dbt) and engineering practices like unit testing and CI/CD.

Experience:3-4 years

Skills:Critical thinkingAnalytical skillsIndependent workCollaborationDetail-oriented

Tech Stack:SQLPythonBigQuerySnowflake3NFDimensional ModelsData VaultELTETLAirbyteAWS FirehoseAirflowDbtUnit TestingCI/CDAWSLookerSupersetData WarehouseData Lakes

Company Brief

Bayzat

Bayzat provides a GCC‑focused HR, payroll, employee benefits and insurance SaaS platform that automates HR operations, payroll compliance and benefits administration for companies across the Middle East.

Industry: HR Tech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series C

Headquarters: Dubai, United Arab Emirates

Founded: 2012

Glassdoor: 3.4

Website LinkedIn Glassdoor

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Bayzat

8 months ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Reposted: first listed 1 week ago

Job Summary

Location: Anywhere

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design scalable data models for collection in the data warehouse.
•Ingest and store data from existing and new sources into data warehouses and data lakes.
•Build ELT/ETL solutions for batch and real-time processing, and maintain/monitor pipeline health.
•Promote data quality using data fitness, lineage, governance, and stability practices.
•Improve query performance for reliable BI reporting and integrate customer data using Customer 360.

Key Requirements

•3-4 years of relevant experience as a data engineer.
•Experience writing and optimizing complex SQL queries.
•Programming experience in Python.
•Experience managing data warehouses such as BigQuery or Snowflake.
•Hands-on with ETL pipelines/frameworks (e.g., Airbyte, AWS Firehose, Airflow, dbt) and engineering practices like unit testing and CI/CD.

Experience:3-4 years

Skills:Critical thinkingAnalytical skillsIndependent workCollaborationDetail-oriented

Tech Stack:SQLPythonBigQuerySnowflake3NFDimensional ModelsData VaultELTETLAirbyteAWS FirehoseAirflowDbtUnit TestingCI/CDAWSLookerSupersetData WarehouseData Lakes

Company Brief

Bayzat

Industry: HR Tech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series C

Headquarters: Dubai, United Arab Emirates

Founded: 2012

Glassdoor: 3.4

Website LinkedIn Glassdoor