Principal Data Platform Engineer – Swedish Ad Platform

🔥 3 minutes ago

🌐 Germany, Romania – Remote

🇩🇪 Germany – Remote 🇷🇴 Romania – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sigma Software Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

💼 Consulting

🏥 Healthcare

🚘 Automotive

Consulting • Healthcare • Automotive

Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.

📋 Description

• Lead the technical design and architecture of a modern enterprise-scale data platform • Define scalable data flows from Iceberg-based event storage into analytical and operational data products • Evaluate and select technologies for orchestration, transformation, querying, serving, and storage • Design reusable canonical entities and data models across advertising, campaigns, inventory, billing, and customer domains • Establish scalable engineering patterns for batch and near-real-time processing • Build reliable and observable data pipelines for high-volume AdTech workloads • Implement data quality, lineage, observability, and reconciliation capabilities • Collaborate with Platform Engineering teams to introduce CI-enforced data contracts and governance standards • Define tenant isolation, access control, and regional data boundary strategies • Establish standards for testing, deployment automation, schema evolution, and versioning • Optimize platform performance, scalability, and infrastructure costs • Mentor engineers and contribute to engineering excellence across the team • Partner closely with leadership and cross-functional stakeholders • Deliver the first production-ready version of the platform • Establish the first production data foundation, documented architectural decisions, enforceable event contracts, tested canonical entities, and observable data quality and lineage

🎯 Requirements

• 8+ years of experience designing and operating production-grade data platforms • Strong expertise in distributed data systems and high-volume event-driven architectures • Deep understanding of modern lakehouse architectures and Apache Iceberg • Advanced SQL skills • Production experience with Python, Java, Scala, or similar languages • Experience with Spark, Flink, or Trino • Strong knowledge of data modeling, partitioning strategies, and performance optimization • Proven experience building batch and near-real-time data pipelines • Hands-on experience with AWS cloud infrastructure • Strong understanding of CI/CD pipelines, Infrastructure as Code, and production observability • Experience implementing data contracts, schema evolution, and data quality frameworks • Ability to make pragmatic architectural decisions in greenfield environments • Upper-Intermediate or higher English level • Strong communication and technical leadership skills • Experience in AdTech or other high-volume event-processing domains is a plus • Experience designing multi-tenant SaaS data architectures is a plus • Familiarity with semantic layer technologies is a plus • Experience supporting analytics and ML/AI workloads is a plus • Understanding of privacy regulations and data residency requirements is a plus

🏖️ Benefits

• Remote work option • Opportunity to work on large-scale international products • Collaboration with highly skilled professionals • Technically ambitious environment • Long-term growth potential