Company Description
VMO, a proud member of the ALTEN Group, is a global leader in engineering and IT services, employing over 60,000 professionals worldwide. Partnering with top Fortune 500 companies and other global enterprises, VMO accelerates innovation, optimizes operations, and drives digital transformation across industries such as healthcare, finance, and manufacturing. Utilizing leading-edge technologies like AI, Data, IoT, and Cloud, VMO empowers clients to thrive in a competitive, fast-changing digital landscape.
With its strong global presence and innovative mindset, VMO contributes to groundbreaking international projects shaping the future of smart technology.
Role Description
We are seeking a skilled and experienced Senior Data Engineer to design, develop, and maintain production-grade data pipelines and data warehouse solutions on Google Cloud Platform. You will work within a high-throughput environment orchestrating -1,200 active DAGs, building containerized ETL/ELT workloads, and ensuring the reliable flow of data from on-premise SAP systems to our enterprise BigQuery data warehouse. This role requires strong hands-on technical expertise, a deep understanding of data engineering best practices, and the ability to collaborate with cross-functional stakeholders including
data analysts, product managers, and business intelligence teams.
What You Will Do
Design, develop, and optimize data pipelines and ETL/ELT/CDC workflows using Cloud Composer (Apache Airflow) and containerized execution on GKE.
Build and maintain data extraction processes from SAP HANA (BDP/ECP) and PostgreSQL databases into Google BigQuery.
Develop and manage DAGs following the organization's standardized pipeline design patterns, including tiered resource allocation, SLA monitoring, and automated failure alerting.
Create and maintain data models (logical and physical), denormalized views, and data marts to support business intelligence and analytics use cases.
Package pipeline logic into Docker containers with poetry-based entrypoints, ensuring reproducibility and CI/CD compliance.
Collaborate with data analysts and product managers to translate business requirements into robust, scalable data solutions.
Ensure data quality, integrity, and security across all data platforms and pipelines.
Troubleshoot and resolve production data pipeline issues, including resource optimization, schema errors, and data reconciliation across markets.
Implement and maintain data ingestion workflows using tools such as Fivetran and HVR for CDC replication.
Support the migration and modernization of legacy data infrastructure (e.g., Composer 2 → Composer 3, SAP HANA → BigQuery).
Document technical designs, data lineage, pipeline runbooks, and AMS handover artifacts for cross-functional reference.
Contribute to data governance practices, including data cataloging, access control, and credential management via GCP Secret Manager.
Qualifications
Bachelor's or Master's degree in Computer Science,
Software Engineering, Data Science, or a related field.
4+ years of professional experience in data engineering, data warehousing, or a related discipline.
Proficiency in Python for pipeline development, scripting, and DAG authoring (Go is a plus).
Strong SQL skills with experience writing complex analytical queries across large-scale datasets.
Hands-on experience with Google Cloud Platform (GCP):
BigQuery for large-scale analytical workloads and data warehousing.
Cloud Composer (Apache Airflow) for orchestrating complex data pipelines.
GKE (Google Kubernetes Engine) for containerized workload execution.
Cloud SQL (PostgreSQL/MySQL) for transactional database management.
Experience building and maintaining Docker containers for pipeline microservices.
Solid grasp of data modeling fundamentals, including Kimball methodology and denormalized views.
Familiarity with CDC (Change Data Capture) concepts and tools (e.g., Fivetran, HVR).
Strong version-control habits (Git) and experience with CI/CD pipelines.
Experience working with enterprise ERP systems, particularly SAP HANA as a data source.
Excellent problem-solving skills and ability to work under pressure in a production-critical environment.
English : communication level
Benefits:
OPPORTUNITIES AND CHALLENGES:
Opportunity to work in a professional, modern and energizing setting.
Challenging projects, possibilities, cutting-edge technology, and problems.
An open and dynamic working atmosphere that promotes the interchange of ideas, while also empowering you to work and create in your own style. Each employee's talent and accomplishments are valued, and outstanding employees are recognized and rewarded on a yearly basis.
Opportunities for capacity development, as well as assistance with professional certification expenses, are available to those who work in the field (1 million - 5 million).
Some advanced certifications will cover the full cost of studying and taking the exam.
ATTRACTIVE REWARDING POLICY AND WORK-LIFE BALANCE:
Review salary 1-2 times/year, with the possibility of an unexpected salary rise based on capacity an infinite number of times per year
Policy for 13th-Month Salary Bonus and Holiday Bonuses According to Company Regulations.
Holiday travel mode (package 5-7 million/person), team building,...
Full participation in social insurance, as well as a yearly health checkup at a reputable hospital.
Comprehensive visit policy for personnel and relatives: birthday, marriage, childbirth, illness, etc.
The football club, cycling car, badminton, ... are just a few of the sports and cultural activities available.
Allowance for classes and training awards: Learning Star of the Month,
A chance to be the face of the year's study, the royalties...