System Data Engineer

Ericsson; Stockholms kommun; On-site; SEK 900,000 - 1,300,000; Full time

Job summary

Ericsson invites you to join a greenfield initiative in the RAN organization, building an AI-powered data platform that keeps design intent aligned with implementation and enables analytics for product teams.

As a Systems Data Engineer, you will design end-to-end data pipelines, implement event-driven workflows with Prefect and cloud services, ensure data quality, governance, and secure data handling across the data lifecycle, from ingestion to analytics.

Qualifications

• 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 practices

Responsibilities

• 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.

Skills

Data modeling

Batch pipelines

SQL skills

Python

Prefect

Event-driven pipelines

Cloud services

Bash scripting

Data governance

Metadata & lineage

Education

Degree in Computer Science, Software Engineering, Data Engineering, or related technical field

Tools

Lambda

ECS Fargate

Batch

Step Functions

Glue

Athena

EventBridge

S3

CI/CD

Monitoring

Job description

About this opportunity

Most engineering roles focus on improving what already exists. Ericsson gives the opportunity of creating something entirely new.

Join our Team

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 practices

Why 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.

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.

Primary country and city

Sweden (SE) || Stockholm