Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌐 United Kingdom, Spain, +1 more countries – Remote

🇬🇧 United Kingdom – Remote 🇪🇸 Spain – Remote 🇵🇹 Portugal – Remote

💵 €75k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Safeguard Global

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📦 Logistics

✈️ Travel

💰 Venture Round on 2019-05

Consulting • Logistics • Travel

Safeguard Global is a company that provides services and solutions to aid businesses in expanding and managing their workforce internationally. They specialize in global payroll, workforce solutions, and providing compliance expertise to ensure businesses adhere to different regulatory requirements around the world. Their goal is to help businesses operate globally with ease, offering support in navigating complex international employment issues.

📋 Description

• 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, IAM, and supporting tools • Design and evolve Apache Iceberg tables, including schema evolution, partitioning, compaction, and storage optimization • Drive data quality, observability, lineage, and monitoring across the data platform • Translate business and analytical needs into scalable, maintainable, high-performing data solutions • Collaborate with data scientists, analysts, engineers, and product teams to deliver trusted datasets and APIs • Contribute to the evolution of the data mesh through new patterns, enhancements, and architecture improvements • Build AI/ML-ready data environments and datasets • Document systems, design decisions, and processes

🎯 Requirements

• Hands-on experience in data engineering, data infrastructure, or platform roles • Deep expertise with dbt, Python, and SQL • Extensive experience with AWS services including Glue, Athena, S3, IAM, and related tools • Proven production experience with Apache Iceberg or similar table formats/lakehouse technologies • Skilled in PySpark and/or Polars for processing large-scale datasets • Track record of designing scalable, modular data architectures • Exceptional communication skills for translating complex technical concepts • Ability to thrive in fast-paced, dynamic environments • Confidence 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

🏖️ Benefits

• Remote first, with flexibility to include life needs like school runs and gym breaks in your schedule • Competitive leave package including paid bonding leaves for new additions to your family • 2 paid charitable days off • Annual bonus scheme or sales incentive plan • International collaboration and networking opportunities • Human-centered culture with recognition for contributions • Access to 2 learning platforms for continuous growth

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