Lead Data Engineer & DevOps

Quick Facts

• Lead Data Engineer & DevOps for a Beauty Care IT team
• Focus on Data Engineering, DataOps, and DevOps/Architecture
• Google Cloud–based platform with batch and streaming pipelines
• Hybrid work model: option to work from home two days per week

Description

Lead the design and engineering of a resilient, future-proof data platform on Google Cloud, including high-throughput batch and streaming pipelines. Own DataOps and DevOps strategy with Infrastructure as Code and standardized, automated CI/CD pipelines that include data contract validation and zero-downtime deployments. Drive SRE-style observability, FinOps optimization, and embed security and data governance into deployment and infrastructure workflows while mentoring engineering teams.

Responsibilities

• Define long-term platform architecture with Data Asset Manager and enterprise/solution architects
• Architect and optimize robust, high-throughput batch and streaming data pipelines; acquire, cleanse, transform, validate, and publish data from multiple sources
• Champion DataOps and Infrastructure as Code (IaC) by provisioning and managing cloud infrastructure with reproducible, version-controlled, modular environments
• Automate end-to-end CI/CD including automated testing, data contract validation, and zero-downtime deployment practices
• Drive GCP FinOps and observability with monitoring, logging, and alerting to ensure high availability and optimize cloud spend/resource allocation
• Embed security and governance into code via enterprise security controls and data governance standards inside deployment pipelines and infrastructure configurations
• Provide technical leadership and mentorship: code review practices, architectural documentation, and production readiness

Requirements

• Proven senior experience in data engineering and/or management
• Experience with Azure and/or Google Cloud Platform
• Demonstrated knowledge of SQL, Python, and PySpark
• Knowledge of coding standards
• Client management and communication skills
• Hands-on experience writing clean, effective code

Nice to Have

• Experience with Databricks and Power BI
• DAMA certification
• SCRUM and DevOps methodologies
• Using or building CI/CD tools

Benefits

• Responsibilities from day one with project ownership and autonomy to deliver change and results
• Dynamic environment with continuous mentoring, coaching, and corporate/functional training
• Industry certifications (ITIL, DevOps, MS portfolio etc.)
• Private health care, sport cards, in-office fitness center, stock options, saving plans, lunch subsidy, regular salary increases, possible promotions
• Flexible work arrangements, mentoring programs, and trainings
• Hybrid work model: up to two remote work days per week