Data Engineering, Foundational Data Mesh

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🕒 July 7

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GFT Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1987

💼 Consulting

🛡️ Insurance

🔒 Cybersecurity

Consulting • Insurance • Cybersecurity

GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.

📋 Description

• Work on building and maintaining the foundational layer of a Data Mesh architecture, ensuring that data domains operate with security, governance, standardization and autonomy. • Responsible for structuring the platform infrastructure, implementing access policies, data catalog, lineage and quality measures, and supporting teams in the creation and publication of data products.

🎯 Requirements

• Experience in data governance projects. • Experience with Data Lake or Data Mesh architectures. • Experience with AWS Lake Formation and AWS Glue Data Catalog. • Experience with access control using IAM and permissions at catalog, database, table and column levels. • Experience with infrastructure as code using Terraform. • Experience with data security and protection using KMS, Secrets Manager and S3 access policies. • Experience with auditing, monitoring and lineage using CloudTrail and CloudWatch. • Experience with CI/CD pipelines, Git and environment automation. • Experience defining and applying governance, security and data-sharing standards across domains. • Knowledge of Data Mesh concepts and principles. • Knowledge of data domains and data products. • Knowledge of data catalog, metadata, lineage, classification and data discovery. • Knowledge of data quality, ownership and data lifecycle. • Knowledge of ingestion, transformation and loading processes — ETL/ELT. • Knowledge of data pipelines. • Knowledge of AWS Glue, EMR, Athena, Lambda and Step Functions. • Knowledge of Python and PySpark. • Knowledge of NoSQL databases such as DynamoDB and MongoDB. • Knowledge of unit, integration and performance testing. • Desired: knowledge or experience with Amazon DataZone and Amazon Macie. • Knowledge of data lineage and observability. • Experience defining data contracts. • Experience with data quality policies. • AWS certifications such as Cloud Practitioner, Data Engineer or Solutions Architect.

🏖️ Benefits

• Multi-benefits card — you choose how and where to use it. • Education grants for undergraduate, postgraduate, MBA and language courses. • Certification incentive programs. • Flexible working hours. • Competitive salaries. • Annual performance review with a structured career plan. • Possibility of international career opportunities. • Wellhub and TotalPass. • Private pension plan. • Childcare assistance. • Health insurance. • Dental insurance. • Life insurance.