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Hiire

Posted 21 days ago

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Platform Data Engineer - AWS

LisbonHybrid

AI Summary

Platform Data Engineer| Data & Analytics Hub | Hybrid, LisbonHiire is supporting a global enterprise technology organization in the search for a Senior Data Engineer to join a growing Data & Analytics Hub focused on building scalable data platforms and enabling data-driven decision-making across complex operational environments.This is an opportunity to work on large-scale cloud data ecosystems that support critical business domains related to vehicle engineering, production, sales, and after-sa

About this role

Platform Data Engineer| Data & Analytics Hub | Hybrid, Lisbon

Hiire is supporting a global enterprise technology organization in the search for a Senior Data Engineer to join a growing Data & Analytics Hub focused on building scalable data platforms and enabling data-driven decision-making across complex operational environments.

This is an opportunity to work on large-scale cloud data ecosystems that support critical business domains related to vehicle engineering, production, sales, and after-sales operations within a highly technical and international environment.

The role is particularly well suited to engineers who enjoy building robust data pipelines, working with cloud-native architectures, and solving large-scale data challenges with real business impact.

About the Product

The Data & Analytics Hub focuses on enabling data-driven insights and improving operational efficiency across multiple business areas related to engineering, manufacturing, and commercial operations.

Teams work on modern cloud-based data platforms responsible for ingesting, transforming, curating, and exposing large-scale datasets used by analytics and business stakeholders across the organization.

What You’ll Do

  • Design and manage scalable data pipeline architectures for ingestion, transformation, and curation workflows

  • Build and maintain cloud-native data solutions using AWS technologies

  • Assemble and optimize large-scale datasets that support both functional and non-functional business requirements

  • Develop ETL pipelines using Python, SQL, PySpark, and modern big data technologies

  • Implement scalable infrastructure for extracting and processing data from multiple sources

  • Build analytics-enablement tooling that provides actionable business insights

  • Work closely with technical and business stakeholders to ensure data is accessible, reliable, and production-ready

  • Contribute to improving data quality, operational efficiency, and platform scalability

What We’re Looking For

  • Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience

  • 5+ years of experience as a Data Engineer or Software Engineer

  • Experience building cloud-native data platforms and pipelines

  • Strong hands-on experience with Python and SQL

  • Experience with PySpark or Apache Spark ecosystems

  • Strong ETL and data transformation experience

  • Experience with CI/CD pipelines and infrastructure automation

  • Strong knowledge of AWS services such as:

    • S3

    • Athena

    • Lambda

    • Glue

    • IAM

    • SQS

  • Strong analytical and communication skills

  • Fluent English communication skills

Nice to Have

  • Strong understanding of Data Lake and Data Warehouse architectures

  • Experience with AWS CDK (Cloud Development Kit)

  • Experience with RDS environments

  • Previous experience within automotive or industrial environments

What’s In It For You

  • €1200 home office budget

  • Flexible allowance of €720/year

  • Performance bonus

  • Health insurance extendable to your household

  • Wellbeing program extendable to your household

  • Life insurance

  • Pension fund

  • Smartphone and phone data plan

  • Employee discounts and special financing conditions

  • Flexible and remote-friendly work environment

  • Flexible working hours

  • Multicultural environment with 30+ nationalities

  • Pet-friendly office culture

  • Internal mobility and career growth opportunities

  • Collaborative and cross-functional engineering culture

About the Environment

The organization is investing heavily in digital transformation initiatives focused on connected mobility, operational platforms, analytics, and large-scale enterprise systems.

Engineering teams work on highly complex systems supporting multiple business-critical domains, including vehicle software, logistics, fleet management, production systems, sales platforms, and operational analytics.

This is an opportunity to join a modern engineering environment where data plays a central role in shaping operational efficiency, product innovation, and future mobility solutions.

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