Systems Data Engineer: Build AI‑Driven Data Pipelines

Ericsson; Stockholms kommun; On-site; SEK 900,000 - 1,400,000; Full time

Job summary

Ericsson in Stockholm is seeking a Systems Data Engineer to design and operate scalable data pipelines that deliver trusted data to product teams. You will ensure data quality, governance, and secure handling across AI-powered analytics platforms.

You will collaborate with architects and engineers to advance batch and event-driven workflows using Prefect, Lambda, ECS Fargate, and S3, enabling scalable data solutions for current and future wireless systems.

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

SQL

Python

Prefect

Data engineering

Data modelling

Data pipelines

Data governance

Cloud services

Bash scripting

ETL design

Education

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

Tools

AWS Lambda

AWS ECS Fargate

AWS Batch

AWS Step Functions

AWS Glue

AWS Athena

AWS EventBridge

Amazon S3

Job description

Ericsson in Stockholm is seeking a Systems Data Engineer to design and operate scalable data pipelines that deliver trusted data to product teams. You will ensure data quality, governance, and secure handling across AI-powered analytics platforms.

You will collaborate with architects and engineers to advance batch and event-driven workflows using Prefect, Lambda, ECS Fargate, and S3, enabling scalable data solutions for current and future wireless systems.