ABOUT THE ROLE
We are looking for an experienced Senior Data Engineer to design and operate enterprise-grade data infrastructure - including warehouses, lakes, and marts - while ensuring data quality, governance, and compliance. You will bring deep expertise in data architecture and modeling, combined with proficiency in pipeline orchestration and analytics tooling.
KEY RESPONSIBILITIES
Data Architecture & Modeling• Design enterprise data models using dimensional modeling, Data Vault 2.0, or similar methodologies• Architect and maintain data warehouses, data lakes, and lakehouse environments• Define and enforce data standards, naming conventions, and schema governance across domains
Data Governance & Quality• Implement data governance frameworks including cataloging, lineage tracking, and metadata management• Build automated data quality checks, validation rules, and anomaly detection into pipelines• Ensure compliance with data privacy regulations through access controls and data classification• Maintain master data management standards, data dictionaries, and business glossaries
Pipeline Engineering & Platform• Build and maintain batch and streaming data pipelines with full observability and alerting• Implement change data capture patterns, real-time ingestion, and ELT/ETL frameworks• Administer and scale cloud data platforms; optimize storage, compute, and cost efficiency• Manage data infrastructure using infrastructure-as-code practices
Collaboration• Partner with analytics engineers, data scientists, and BI teams to deliver trusted data products• Define data contracts between producers and consumers; mentor junior engineers
REQUIRED QUALIFICATIONS
• 5+ years of data engineering experience with a focus on enterprise data platforms• Expert SQL skills; strong Python for data processing and automation• Deep experience with cloud data warehouse platforms• Hands-on experience with data transformation frameworks and workflow orchestration tools• Experience with data governance and cataloging platforms• Solid understanding of data quality frameworks, privacy regulations, and CI/CD for pipelines
NICE TO HAVE
AI & Machine Learning• Experience building and maintaining feature stores to serve ML models in production• Familiarity with vector databases and embedding pipelines for retrieval-augmented generation• Exposure to LLM application frameworks and AI orchestration workflows• Data lineage and audit trails applied to AI/ML workflows for compliance and reproducibility
Telecom & RAN• Understanding of RAN architecture, including network nodes, interfaces, and data flows across 4G/5G environments• Familiarity with telecom data sources such as performance counters, KPIs, alarm feeds, and network event logs• Experience with high-volume, time-series network data and applying data engineering principles to telecom datasets• Ability to collaborate with network engineers and RAN teams to define data requirements and support analytics use cases
Top Skills
What the Team is Saying
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What We Do
Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.
Why Work With Us
Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.
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Ericsson Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Ericsson adopts a hybrid work model globally because we know balance matters. Sometimes things are better in real life. Other times we can be more productive at home. Our hybrid approach gives you the best of both worlds.
