Senior Data Engineer — Remote, Architect & Tech Leader

Neotalent Conclusion; Porto; Hybrid; EUR 65,000 - 95,000; Full time

Benefits offered by this job

Remote work possibility

Continuous training and certifications

Internal mobility program

Job summary

Neotalent Conclusion is seeking a Senior Data Engineer to design end-to-end data architectures, govern complex data platforms, and drive scalable, secure, and compliant data solutions in a strategic enterprise environment.

You will lead multidisciplinary teams, promote best practices in data engineering, governance, and enterprise architecture while shaping data lake, lakehouse, and data warehouse strategies across cloud platforms (Azure, AWS, GCP).

Qualifications

• Experience designing end-to-end data solutions and governance.
• Strong background in data ingestion, processing, storage, and consumption patterns.
• Proven ability to define reference architectures and design standards.
• Knowledge of data security, regulatory compliance, and observability.
• Ability to lead multidisciplinary teams and drive best practices in data engineering.

Responsibilities

• Analyze requirements to support architectural decisions.
• Design end-to-end data architectures for ingestion, processing, storage, governance, and consumption.
• Define data models and integration patterns (ETL/ELT, streaming, CDC, APIs, event-driven).
• Evaluate technology options and document decisions with reference architectures.
• Ensure solutions meet scalability, performance, security, resilience, and governance needs.
• Provide technical guidance to data engineers, architects, and implementation teams.

Skills

Data modeling

Data architectures

ETL/ELT

CDC/Streaming

APIs

Event-driven

Big data

Cloud platforms

Tools

Microsoft Azure

AWS

Google Cloud Platform

Job description

Neotalent Conclusion is seeking a Senior Data Engineer to design end-to-end data architectures, govern complex data platforms, and drive scalable, secure, and compliant data solutions in a strategic enterprise environment.

You will lead multidisciplinary teams, promote best practices in data engineering, governance, and enterprise architecture while shaping data lake, lakehouse, and data warehouse strategies across cloud platforms (Azure, AWS, GCP).