System Data Engineer

Ericsson; Stockholms kommun; On-site; SEK 700,000 - 1,000,000; Full time

Job summary

Ericsson is building a greenfield AI-powered data platform within the RAN organization in Stockholm. As a Systems Data Engineer, you will shape how RAN knowledge, design decisions, and data structures are captured, governed, and exposed for analytics.

You’ll design end-to-end pipelines, implement event-driven workflows, and collaborate with architects and product teams to deliver scalable data solutions with strong data quality, security, and governance considerations.

Qualifications

• Degree in Computer Science, Software Engineering, Data Engineering or related field.
• 5+ years of experience in data engineering or closely related software engineering role.
• Strong SQL skills and experience with relational databases, schema design and performance optimization.
• Strong programming skills in Python for data processing and reusable pipeline components.
• Hands-on experience with workflow orchestration tools such as Prefect or equivalent.
• Hands-on experience building and operating event-driven data pipelines across different platform services (Lambda, ECS Fargate, Batch, Step Functions, Glue, Athena, EventBridge, S3).
• Experience with Bash scripting in cloud-native data processing workflows.
• Practical experience with data catalogue, metadata, lineage governance and secure data handling practices.

Responsibilities

• Design, build, and optimize robust end-to-end data pipelines and reusable processing components.
• Develop, maintain, and operate platform-based, event-driven data workflows and S3-backed data flows.
• Build and evolve orchestrated data processing workflows using Prefect.
• Collaborate with cross-functional teams to design scalable data solutions.
• Drive data ingestion, transformation, validation, and quality frameworks.
• Contribute to data catalogue, metadata, and lineage capabilities for governance.
• Support secure data handling and access control in collaboration with governance teams.
• Enable data consumption for analytics and reporting with catalogues and dashboards.
• Improve data platform capabilities, performance, testing, observability, and delivery quality.

Skills

SQL

Python

Prefect

Data pipelines

Cloud data services

Bash scripting

Data governance

Education

Degree in Computer Science / Software/Data Engineering

Tools

Lambda

ECS Fargate

Step Functions

Glue

Athena

EventBridge

S3

Job description

Join our TeamAbout this opportunity:Most engineering roles focus on improving what already exists. Ericsson gives the opportunity of creating something entirely new.We are building an AI-powered engineering platform that keeps design intent and implementation aligned, turns engineering knowledge into a searchable asset, and enables AI to become a true engineering partner. By connecting system design with software implementation, we're laying the foundation for a new way of developing complex systems.This is a greenfield initiative within Ericsson's RAN organization. You'll work at the intersection of AI, software architecture, and systems engineering, building intelligent agents, knowledge frameworks, and tooling that amplify engineering expertise. The challenges are ambitious, and the solutions have yet to be defined.The goal is not to replace expertise, but to elevate it. By reducing repetitive work, AI allows engineers to focus on innovation, problem-solving, and high-value technical decisions.You'll have the opportunity to shape the direction of this work and influence how future wireless systems, from 5G to 6G and beyond, are designed and developed.As a Systems Data Engineer, you will drive how RAN system knowledge, design decisions, and technical structures are captured, represented, and governed. You will ensure data quality, metadata, lineage, governance, secure handling, and enable analytics/BI. Use Prefect orchestration, Python and SQL, containerization, CI/CD and monitoring; collaborate with architects and product teams to translate requirements into scalable, production-grade data solutions.What you will do:• Design, build, and optimize robust end-to-end data pipelines and reusable processing components that deliver trusted and timely data to product teams and other stakeholders.• Develop, maintain, and operate platform-based, event-driven data workflows and S3-backed data flows, ensuring secure, scalable, and reliable data movement across the delivery lifecycle.• Build and evolve orchestrated data processing workflows using tools such as Prefect, with strong focus on quality, maintainability, and operational support.• Collaborate with cross-functional engineering teams, architects, and stakeholders to design scalable data solutions aligned with product, analytics, and operational needs.• Drive implementation of data ingestion, transformation, validation, and quality assurance frameworks, including support for raw and parsed dataset workflows.• Contribute to the evolution of data catalogue, metadata, and lineage capabilities to improve discoverability, governance, and controlled data consumption.• Support secure data handling, access control, and consent-aware ways of working in collaboration with relevant stakeholders and governance processes.• Enable data consumption for analytics and reporting scenarios, including integration points that support cataloguing, dashboards, and internal visibility of available datasets.• Drive improvements to data platform capabilities, pipeline performance, testing, observability, and operational excellence.• Use modern engineering practices and AI-assisted tools where appropriate to improve development efficiency, documentation quality, troubleshooting, and delivery excellence while following security and governance requirements.• Communicate technical solutions, trade-offs, and delivery progress effectively to engineering teams, product stakeholders, and leadership in both technical and plain language.The skills you bring:• Degree in Computer Science, Software Engineering, Data Engineering, or related technical field• 5+ years of experience in data engineering or closely related software engineering role• Strong experience in data modelling, scalable batch data pipelines, and data lake or data warehouse patterns• Strong SQL skills and experience with relational databases, schema design and performance optimization• Strong programming skills in Python for data processing and reusable pipeline components• Hands-on experience with workflow orchestration tools such as Prefect or equivalent• Hands-on experience building and operating event-driven data pipelines across different platform services (Lambda, ECS Fargate, Batch, Step Functions, Glue, Athena, EventBridge, S3)• Experience with Bash scripting in cloud-native data processing workflows• Practical experience with data catalogue, metadata, lineage, governance, and secure data handling practicesWhy join Ericsson?At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.Primary country and city: Sweden (SE) || StockholmReq ID: 791597