Thales

3 months ago

Senior Data Engineer - Lewis Engineering Agentic AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Design, build, and maintain scalable data pipelines and ETL/ELT processes on GCP, collaborating with development teams to enable AI agent ecosystems. Focus on data quality, security, and cost-efficient data services within a hybrid Bucharest setting, delivering robust data architectures for enterprise needs.

Location: Bucharest

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Design, build, and maintain scalable and reliable data pipelines with various data sources.
•Develop ETL / ELT processes using tools like Data Fusion GCP and DataFlow GCP (Apache Beam).
•Collect and process data in a suitable format for the organization’s needs; perform and integrate data quality checks to identify and correct errors or discrepancies.
•Create and maintain documentation related to data flows and models, transformations applied, and validation procedures.
•Optimize performance and cost-efficiency of GCP data services and ensure security and compliance best practices in data handling.

Key Requirements

•Bachelor’s degree in Computer science, Computer Engineering, or a relevant technical field.
•5+ years of experience with cloud data platforms (e.g., AWS, Azure, GCP); GCP experience highly desirable.
•Strong experience with DataFlow (GCP) and Apache Beam.
•Proficiency in Python (or similar languages) with solid software engineering fundamentals (testing, modularity, version control).
•Hands-on experience with SQL and NoSQL data stores (e.g., PostgreSQL, Redshift, DynamoDB, MongoDB).

Experience:5+ yearsData engineeringCloud

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solving

Languages:EnglishFrench

Tech Stack:PythonDataFlowApache BeamGCPPostgreSQLRedshiftDynamoDBMongoDBSQLNoSQLTerraformDockerKubernetesData FusionAirflowETLELT

Company Brief

Thales

Designs and delivers advanced systems and services for aerospace, defence, security, and digital identity and cybersecurity markets, serving government and commercial customers worldwide.

Industry: Defense Technology

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Paris, France

Founded: 2000

Website LinkedIn

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Thales

3 months ago

Senior Data Engineer - Lewis Engineering Agentic AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Bucharest

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Design, build, and maintain scalable and reliable data pipelines with various data sources.
•Develop ETL / ELT processes using tools like Data Fusion GCP and DataFlow GCP (Apache Beam).
•Collect and process data in a suitable format for the organization’s needs; perform and integrate data quality checks to identify and correct errors or discrepancies.
•Create and maintain documentation related to data flows and models, transformations applied, and validation procedures.
•Optimize performance and cost-efficiency of GCP data services and ensure security and compliance best practices in data handling.

Key Requirements

•Bachelor’s degree in Computer science, Computer Engineering, or a relevant technical field.
•5+ years of experience with cloud data platforms (e.g., AWS, Azure, GCP); GCP experience highly desirable.
•Strong experience with DataFlow (GCP) and Apache Beam.
•Proficiency in Python (or similar languages) with solid software engineering fundamentals (testing, modularity, version control).
•Hands-on experience with SQL and NoSQL data stores (e.g., PostgreSQL, Redshift, DynamoDB, MongoDB).

Experience:5+ yearsData engineeringCloud

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solving

Languages:EnglishFrench

Tech Stack:PythonDataFlowApache BeamGCPPostgreSQLRedshiftDynamoDBMongoDBSQLNoSQLTerraformDockerKubernetesData FusionAirflowETLELT

Company Brief

Thales

Designs and delivers advanced systems and services for aerospace, defence, security, and digital identity and cybersecurity markets, serving government and commercial customers worldwide.

Industry: Defense Technology

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Paris, France

Founded: 2000

Website LinkedIn