Lead Data Engineer
Abu Dhabi, UAE/Dubai
Listed on 2026-05-12
-
IT/Tech
Data Engineer, Cloud Computing, Big Data, Data Science Manager
About The Job You Are Considering
Capgemini Global Insights & Data business line is a market leader in the data, platform, and analytics across all regions and across many sectors (including financial services, consumer products, manufacturing & life sciences). Our offerings include end-2-end data integration to cloud platform, complete suite of AI engineering capabilities and a category of sector-based advanced analytics / AI solutions.
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your RoleWe are seeking an experienced and visionary Lead Data Engineer (Cloud) to lead our data-driven decision-making processes. This role requires someone with a balance of analytical skills, strategic foresight, and the ability to collaborate effectively across diverse teams. The Data Engineer will be instrumental in creating scalable data pipelines, optimizing data architectures, and ensuring the overall security and reliability of cloud-based data solutions.
The ideal candidate will have a strong background in data architecture, ETL pipelines, cloud platforms (AWS, Azure, GCP), and big data technologies.
- Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines using cloud-native tools.
- Implement best practices for data ingestion, transformation, and loading processes across multiple sources.
- Automate workflows and develop data pipelines using tools such as Apache Airflow, Glue, Databricks, or Dataflow.
- Architect, build, and maintain cloud-based data solutions using AWS, Azure, or Google Cloud Platform (GCP).
- Optimize cloud infrastructure for cost, performance, and security.
- Implement monitoring, logging, and alerting solutions for data pipelines and cloud infrastructure.
- Bachelor's degree in data science, analytics, business, or related field. Advanced degrees or certifications are a plus.
- Analytical Thinking & Problem Solving:
Proven ability to dissect complex problems and provide actionable insights in a timely manner. - Proficiency with cloud platforms such as AWS (S3, EC2, EMR, Glue, Lambda), Azure (Data Factory, Blob Storage, HDInsight), or GCP (Big Query, Dataflow, Pub/Sub).
- Strong programming skills in Python, Java, Scala, or SQL.
- Experience with big data tools (Hadoop, Spark, Kafka, etc.).
- Proficiency with ETL processes and data transformation techniques.
- Knowledge of relational and different databases (Postgre
SQL, Mongo
DB, Cassandra).
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