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Safeguard Global

Global workforce management, payroll, onboarding

Senior Data Engineer

Data EngineeringPosted on Nov 13
Full-time€75k

About the Job

Requirements

  • Hands-on experience in data engineering, data infrastructure, or platform roles.
  • Deep expertise with dbt, Python, and SQL for building reliable and scalable pipelines.
  • Extensive experience with AWS services, including Glue, Athena, S3, IAM, and related tools.
  • Proven production experience with Apache Iceberg or similar table formats or lakehouse technologies.
  • Skills in PySpark and/or Polars for processing large-scale datasets efficiently.
  • A track record of designing scalable, modular data architectures that evolve with business needs.
  • Ability to translate complex technical concepts for diverse stakeholders.
  • Ability to adapt to shifting priorities in fast-paced environments.
  • Confidence in mentoring or guiding junior engineers.
  • Experience building data systems for AI/ML applications.
  • Familiarity with pipeline orchestration patterns and best practices.
  • Hands-on exposure to infrastructure-as-code tools such as Terraform or CDK.
  • Experience with data cataloging, lineage, or governance tools.
  • Experience with real-time or streaming data pipelines.

Responsibilities

  • Build, maintain, and optimize end-to-end data pipelines using dbt, Python, PySpark, Polars, and SQL.
  • Operate and enhance AWS data infrastructure, including Glue, Athena, S3, and supporting tools.
  • Design and evolve Apache Iceberg tables, managing schema evolution, partitioning, compaction, and efficient storage.
  • Drive data quality, observability, lineage, and monitoring across the data platform.
  • Translate business and analytical needs into scalable, maintainable, and high-performing data solutions.
  • Collaborate with data scientists, analysts, engineers, and product teams to deliver clean, trusted datasets and APIs.
  • Contribute to the evolution of the data mesh by developing new patterns, enhancements, and architecture improvements.
  • Build AI/ML-ready data environments and datasets that enable intelligent products and predictive insights.
  • Document systems, design decisions, and processes to ensure clarity, consistency, and smooth onboarding.

About the Company

Safeguard Global

Global workforce management, payroll, onboarding

Safeguard Global provides adaptive solutions that help organizations manage a global workforce. It combines workforce management data, technology, services and local market expertise to support global employee management activities such as recruitment, payroll, onboarding, expense management and more. How it works: the platform integrates data and technology with advisory services and country-specific know-how to streamline and automate global human resources operations, from hiring across borders to paying employees and handling expenses. How it differs from competitors: it blends data-driven insights, scalable technology, outsourced services and deep local market knowledge to tailor cross-border HR and payroll processes to each country, aiming for consistent, compliant and efficient operations. The company's goal: help organizations thrive in the global economy by making global workforce management smarter and more efficient.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$6M
Headquarters
Austin, TX
Founded
2008

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