Senior Data Engineer for AI-Ready Pipelines

Akkodis; Dubai; On-site; AED 350,000 - 600,000; Full time

Job summary

Akkodis in Dubai seeks an experienced Senior Data Engineer to join a growing data and AI team. You will own the full data lifecycle: ingestion, cleansing, transformation, curation and presentation to support analytics, reporting, ML and AI use cases.

You will build robust ETL/ELT pipelines, web-scraping when needed, optimise workloads, and contribute to cloud data architecture while ensuring data quality and security across IAM, encryption and auditing.

Qualifications

• 5+ years in Data Engineering or similar role.
• Strong Python and SQL skills.
• Experience building ETL/ELT pipelines with dbt, Informatica, Talend, AWS Glue, Python or SQL.
• Experience with Snowflake and/or Databricks.
• Cloud exposure: Azure, AWS and/or GCP.
• Data modelling and warehousing fundamentals.
• Experience supporting data lakes and data marts.
• CI/CD and DevOps in data environments.
• Experience with BI/analytical tools (Power BI, Tableau, Spotfire, MicroStrategy).
• Degree in CS/Stats/Math or related field.

Responsibilities

• Develop, test and maintain robust ETL/ELT pipelines.
• Ingest, cleanse, validate and transform data from multiple sources.
• Build data lakes and data marts for analytics and reporting.
• Support ML/AI data pipelines and feature stores.
• Ensure data quality, governance and security practices.
• Collaborate with product, engineering and business teams.
• Contribute to CI/CD, testing and documentation.

Skills

Python

SQL

ETL/ELT pipelines

Data modelling

Data warehousing

CI/CD

DevOps in data

Analytical thinking

Education

Bachelor’s or Master’s degree in Computer Science / Statistics / Mathematics

Tools

dbt

Informatica

Talend

AWS Glue

Snowflake

Databricks

Azure / AWS / GCP

Power BI

Tableau

SAP Analytics Cloud

Job description

Akkodis in Dubai seeks an experienced Senior Data Engineer to join a growing data and AI team. You will own the full data lifecycle: ingestion, cleansing, transformation, curation and presentation to support analytics, reporting, ML and AI use cases.

You will build robust ETL/ELT pipelines, web-scraping when needed, optimise workloads, and contribute to cloud data architecture while ensuring data quality and security across IAM, encryption and auditing.