Data Engineer – BigQuery

Consort Group

. Design, develop, and maintain data architectures and infrastructure .

Posted 11/10/2026full-timeLille • FranceMid-LevelSenior💰 €38,000 - €43,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, focusing on the design, integration, and operation of data infrastructure. Proficient in ensuring data quality, reliability, and security while collaborating with multidisciplinary teams to meet evolving business needs.

Highest-signal resume keywords

Data Engineering ExperienceProficiency In Google BigQueryData Infrastructure Design And ArchitectureData Quality And Reliability ExpertiseInformation Systems Security Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData IntegrationData ProcessingData MappingMetadata ManagementData Quality ControlData MonitoringRisk ManagementIncident ManagementData Analytics

Soft Skills

Analytical SkillsProblem-Solving SkillsAttention To DetailService OrientationCollaboration Skills

Industry Keywords

Data QualityData ReliabilityData SecurityInformation Systems EngineeringCentralized Data Platforms

Tech Stack

Tools & technologies

BigQueryFlux

About the role

Key responsibilities & impact

Design, develop, and maintain data architectures and infrastructure
Collect, integrate, store, and process data streams from multiple sources
Ensure data quality, consistency, reliability, and accessibility
Oversee data ingestion into and operation of centralized data platforms
Validate integrated data by detecting anomalies, managing duplicates, and verifying compliance
Define and structure metadata
Implement data quality control and monitoring processes
Ensure infrastructure security and effective access management
Monitor technological developments to recommend solutions suited to evolving business needs
Produce architecture documentation and technical frameworks for data processing solutions
Implement suitable data storage and management infrastructure
Develop data mapping
Define controls and indicators to monitor and ensure data quality

Requirements

What you’ll need

Experience in data engineering
Strong knowledge of issues related to the design, integration, and operation of data infrastructure
Proficiency in Google BigQuery
Skills in data infrastructure design and architecture
Information systems engineering skills
Expertise in managing and processing data at scale
Information and metadata management skills
Information systems security skills
Data quality and reliability expertise
Data science and analytics skills
Ability to monitor technological developments
Risk and incident management
Strong service orientation
Analytical and problem-solving skills
Attention to detail and commitment to quality
Ability to collaborate with multidisciplinary teams

Benefits

Comp & perks

Thoughtful, people-focused onboarding
Close and supportive management
Ongoing access to training
Concrete commitments to inclusion, equality, and solidarity
Comprehensive benefits package: health insurance, meal voucher card, employee benefits committee, and disability and life insurance
A feedback-driven culture and meaningful projects