Analytics Engineer Data Integrity & Engineering Chalhoub Group

Employer Active

Posted 10 hrs ago

Experience

3 - 5 Years

Education

Bachelor of Science(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

We are seeking a highly skilled Analytics Engineer with a strong foundation in data engineering, analytics, and data integrity. This hybrid role combines data engineering expertise with analytics product development and governance practices. You will be responsible for building and maintaining robust data pipelines, ensuring data quality, and delivering high-impact analytics solutions that drive business decisions.

The role requires hands-on experience with SQL and designing ingestion workflows from external sources into enterprise data platforms. You will also design reconciliation dashboards, validate data flows, and enforce governance standards to ensure trust in data across the organization.

Responsibilities

Data Engineering & Pipelines

  • Design, implement, and optimize data pipelines for ingestion and transformation.
  • Develop and manage scheduled data workflows using orchestration tools (Airflow, dbt, or equivalent).
  • Build automated monitoring and alerting processes to ensure pipeline reliability.

Analytics & Data Integrity

  • Design and implement reconciliation dashboards to validate accuracy and consistency across systems.
  • Develop analytics products and dashboards in Looker, Tableau, or Power BI to support product and business stakeholders.
  • Collaborate with product, business, and technical teams to gather requirements and translate them into scalable analytics solutions.
  • Governance & Quality
  • Audit and monitor data flows to proactively identify gaps, inconsistencies, and integrity issues.
  • Contribute to data governance frameworks, including lineage tracking, standards, and best practices.
  • Ensure compliance with data security and quality requirements across engineering and analytics workflows.

Desired Candidate Profile

Bachelor s degree in Data Science, Computer Science, Information Systems, or related field.

  • 3+ years of experience in data engineering, analytics engineering, or data integrity roles.
  • Strong proficiency in SQL with proven experience building pipelines and analytics products.
  • Experience with scheduling/orchestration tools (Airflow, dbt Cloud, Composer, or equivalent).
  • Proficiency in BI tools (Looker, Tableau, PowerBI) for dashboarding and analytics.
  • Solid understanding of ETL/ELT processes, reconciliation methods, and data validation techniques.
  • Strong communication and stakeholder management skills with ability to bridge business and technical requirements.
  • Company Industry

    Department / Functional Area

    Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@naukrigulf.com