Data Engineer Snowflake/dbt

Atos is hiring a Data Engineer Snowflake/dbt. Level rates it ; you can apply on Atos.

Level's read on this job

Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
Level classes it as a mid-level role.
Atos has 609 other open roles on Level.
Posted within the past week.

AI in this role

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.

How we rate this

Data Engineer Snowflake/dbt at Atos rates 27 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.