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Data Engineer Snowflake/dbt
Timisoara, RO
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingWe are seeking an experienced Data Engineer to join our team and contribute to the design, development, and maintenance of our Snowflake and dbt-based data pipelines.
Design, develop and maintain ELT data pipelines using Snowflake and dbt
Model data at conceptual and technical levels from business requirements
Optimize SQL queries and dbt models for performance
Configure and manage data security (RBAC, row-level security, data masking)
Ensure efficient data ingestion from AWS S3 to Snowflake
From the employer’s posting
We are seeking an experienced Data Engineer to join our team and contribute to the design, development, and maintenance of our Snowflake and dbt-based data pipelines. You will be responsible for implementing robust ELT solutions that efficiently transform data and provide valuable insights to the organization.
Design, develop, and maintain high-performance ELT data pipelines using Snowflake and dbt
Model data at both conceptual and technical levels based on business requirements
Optimize SQL queries and dbt models to ensure optimal performance
Configure and manage data security (RBAC, Row-Level Security, Dynamic Data Masking)
Ensure efficient data ingestion from AWS S3 to Snowflake
What you’ll bring
All qualificationsCore experience
- 3-5 years of experience in data engineering
- Significant experience with Snowflake and dbt
- Advanced SQL model development in dbt
- Snowflake features, warehouses, Snowpipe and external stages
- Degree in Computer Science, Data Science, or similar field
Preferred experience
- Experience with Snowflake Tasks and Dynamic Tables
- Ability to work in a team and communicate effectively
- Degree in Computer Science, Data Science, or similar field
- Knowledge of data mesh and data governance principles
Qualification wording
Minimum 3-5 years of experience in data engineering
Significant experience with Snowflake and dbt
Advanced SQL model development in dbt
Management of external stages and Snowpipe for ingestion from AWS S3
Degree in Computer Science, Data Science, or similar field
Experience with Snowflake Tasks and Dynamic Tables
Ability to work in a team and communicate effectively
Knowledge of data mesh and data governance principles
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20261 day ago
- Recorded sightings
- 3
- Last seen by us
- Nov 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
ATOS International is hiring
18 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- AWS
- dbt
- S3
- Snowflake
Where the posting names them
- Model data at both conceptual and technical levels based on business requirements - Optimize SQL queries and dbt models to ensure optimal performance - Implement and maintain DataOps infrastructure for deployment automation
- dbt (data build tool): - Advanced SQL model development in dbt - Creation and optimization of data models (dimensions, facts, etc.)
- Creation and optimization of data models (dimensions, facts, etc.) - Use of Jinja macros to create dynamic and reusable SQL code - Configuration of dbt tests for data validation
- Configure and manage data security (RBAC, Row-Level Security, Dynamic Data Masking) - Ensure efficient data ingestion from AWS S3 to Snowflake - Orchestrate data flows through dbt and create DAGs with proper tag management
- Configuration and optimization of Snowflake warehouses - Management of external stages and Snowpipe for ingestion from AWS S3 - Configuration and implementation of RBAC, RLS, and Dynamic Data Masking security mechanisms
- Experience with Git and collaborative development workflows - AWS & Integration: - Knowledge of AWS S3 and its integration with Snowflake
- AWS & Integration: - Knowledge of AWS S3 and its integration with Snowflake - Configuration of external stages and ingestion processes
- dbt Analytics Engineering Certification - a plus - AWS certifications (Solutions Architect, Data Engineer, or similar) - a plus Soft Skills
About the Role We are seeking an experienced Data Engineer to join our team and contribute to the design, development, and maintenance of our Snowflake and dbt-based data pipelines. You will be responsible for implementing robust ELT solutions that efficiently transform data and provide valuable insights to the organization. Key Responsibilities
Key Responsibilities - Design, develop, and maintain high-performance ELT data pipelines using Snowflake and dbt - Model data at both conceptual and technical levels based on business requirements
- Ensure efficient data ingestion from AWS S3 to Snowflake - Orchestrate data flows through dbt and create DAGs with proper tag management - Implement data quality testing via dbt tests
- Orchestrate data flows through dbt and create DAGs with proper tag management - Implement data quality testing via dbt tests - Manage administrative aspects of Snowflake databases
- Snowflake database administration (object creation/management, monitoring, optimization) - dbt (data build tool): - Advanced SQL model development in dbt
- Use of Jinja macros to create dynamic and reusable SQL code - Configuration of dbt tests for data validation - Implementation of dbt snapshots for change tracking
- Configuration of dbt tests for data validation - Implementation of dbt snapshots for change tracking - Creation of optimized DAGs with proper tag and dependency management
- SnowPro Core Certification - highly valued - dbt Analytics Engineering Certification - a plus - AWS certifications (Solutions Architect, Data Engineer, or similar) - a plus
- Minimum 3-5 years of experience in data engineering - Significant experience with Snowflake and dbt - Degree in Computer Science, Data Science, or similar field
- Implement data quality testing via dbt tests - Manage administrative aspects of Snowflake databases Required Technical Skills
Required Technical Skills - Snowflake: - Mastery of advanced Snowflake features (Time Travel, Zero-Copy Cloning)
- Snowflake: - Mastery of advanced Snowflake features (Time Travel, Zero-Copy Cloning) - Configuration and optimization of Snowflake warehouses
- Mastery of advanced Snowflake features (Time Travel, Zero-Copy Cloning) - Configuration and optimization of Snowflake warehouses - Management of external stages and Snowpipe for ingestion from AWS S3
- Configuration and implementation of RBAC, RLS, and Dynamic Data Masking security mechanisms - Snowflake database administration (object creation/management, monitoring, optimization) - dbt (data build tool):
Preferred Qualifications - Experience with Snowflake Tasks and Dynamic Tables - Knowledge of data mesh and data governance principles
- Degree in Computer Science, Data Science, or similar field Advanced Snowflake certifications appreciated (SnowPro Advanced Learn more about us:
Your next step
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Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Who we are.
We are a team of passionate experts with a clear ambition: applying digital technology to advance what matters for our clients and society.
Together we create reliable and responsive digital foundations for the world’s businesses, institutions, and communities.
With a 10 year history in Romania and over 2000 employees, Atos has a presence in 2 of the largest cities in Romania: Bucharest and Timisoara. Our Global Technology Center in Romania offers cutting-edge, best in class, end-to-end IT services for clients located around the world.
Learn more on Advancing what matters
About the Role
We are seeking an experienced Data Engineer to join our team and contribute to the design, development, and maintenance of our Snowflake and dbt-based data pipelines. You will be responsible for implementing robust ELT solutions that efficiently transform data and provide valuable insights to the organization.
Key Responsibilities
- Design, develop, and maintain high-performance ELT data pipelines using Snowflake and dbt
- Model data at both conceptual and technical levels based on business requirements
- Optimize SQL queries and dbt models to ensure optimal performance
- Implement and maintain DataOps infrastructure for deployment automation
- Configure and manage data security (RBAC, Row-Level Security, Dynamic Data Masking)
- Ensure efficient data ingestion from AWS S3 to Snowflake
- Orchestrate data flows through dbt and create DAGs with proper tag management
- Implement data quality testing via dbt tests
- Manage administrative aspects of Snowflake databases
Required Technical Skills
- Snowflake:
- Mastery of advanced Snowflake features (Time Travel, Zero-Copy Cloning)
- Configuration and optimization of Snowflake warehouses
- Management of external stages and Snowpipe for ingestion from AWS S3
- Configuration and implementation of RBAC, RLS, and Dynamic Data Masking security mechanisms
- Snowflake database administration (object creation/management, monitoring, optimization)
- dbt (data build tool):
- Advanced SQL model development in dbt
- Creation and optimization of data models (dimensions, facts, etc.)
- Use of Jinja macros to create dynamic and reusable SQL code
- Configuration of dbt tests for data validation
- Implementation of dbt snapshots for change tracking
- Creation of optimized DAGs with proper tag and dependency management
- Data model documentation
- DataOps & Automation:
- Use of schemachange for schema migration automation
- Continuous integration and deployment (CI/CD) for data pipelines
- Experience with Git and collaborative development workflows
- AWS & Integration:
- Knowledge of AWS S3 and its integration with Snowflake
- Configuration of external stages and ingestion processes
Preferred Qualifications
- Experience with Snowflake Tasks and Dynamic Tables
- Knowledge of data mesh and data governance principles
- Familiarity with data testing frameworks
- Experience in pharmaceutical or life sciences industry
Certifications (Preferred)
- SnowPro Core Certification - highly valued
- dbt Analytics Engineering Certification - a plus
- AWS certifications (Solutions Architect, Data Engineer, or similar) - a plus
Soft Skills
- Excellent problem-solving skills and analytical mindset
- Rigor and attention to detail
- Ability to work in a team and communicate effectively
- Adaptability to an evolving technical environment
Experience and Education
- Minimum 3-5 years of experience in data engineering
- Significant experience with Snowflake and dbt
- Degree in Computer Science, Data Science, or similar field
Advanced Snowflake certifications appreciated (SnowPro Advanced
Learn more about us:
At Atos, we embrace diversity as the ultimate engine of ingenuity for our clients, and we constantly strive to create a culture where people feel supported and encouraged. Read more about our commitment here .
Whether it is fighting climate change, promoting digital inclusion, or ensuring trust in data management – tech for good sits at the core of our identity. With numerous global recognitions for our ESG practices, we are committed to building a better future for all by harnessing the power of technology. Learn more here.
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Timisoara, RO
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