Senior Data Engineer - AI-Powered Pipelines (Hybrid)

Sinch; Stockholms kommun; Hybrid; SEK 670,000 - 804,000; Full time

Job summary

Sinch is seeking a Senior Data Engineer to design, build, and optimize data pipelines across a global product portfolio. You will leverage AI-assisted tools, explore AI agents, and contribute to modern data architectures while ensuring scalable and reliable data platforms.

The role requires Python, SQL, Spark, and cloud experience (AWS/GCP), with a hybrid setup based in Stockholm. English language is required for collaboration with global stakeholders.

Qualifications

• Proficient in Python, Spark, Git, CI/CD, and Docker.
• Experience using AI-assisted development tools to accelerate coding, debugging, testing, and documentation with high code quality.
• Skilled in SQL for data querying and ETL/ELT development.
• Strong interest in AI technologies like AI agents and autonomous workflows for productivity enhancements.
• Experience with data lakes/warehouses, Airflow, Dagster, and Databricks.
• Cloud experience in AWS or GCP and knowledge of Data Lake/Data Mesh/Data Fabric concepts.
• Fluent English for stakeholder communication.

Responsibilities

• Lead data engineering projects and drive technical decisions for scalable solutions.
• Act as technical authority, mentoring on architecture and engineering practices.
• Champion engineering excellence through code reviews and AI-assisted development.
• Promote modern data engineering practices and adoption of new tools across teams.
• Explore AI agents and LLMs to automate development tasks and improve efficiency.
• Drive data integration across platforms to provide reliable data access.
• Contribute to pipeline performance, quality, monitoring, and maintenance.
• Identify opportunities to improve products and data architecture through analytics and automation.

Skills

Python

Spark

Git

CI/CD

Docker

AI-assisted development

SQL

ETL/ELT

Airflow

Databricks

AWS/GCP

Tools

GitHub Copilot

Claude

LLMs

Job description

Sinch is seeking a Senior Data Engineer to design, build, and optimize data pipelines across a global product portfolio. You will leverage AI-assisted tools, explore AI agents, and contribute to modern data architectures while ensuring scalable and reliable data platforms.

The role requires Python, SQL, Spark, and cloud experience (AWS/GCP), with a hybrid setup based in Stockholm. English language is required for collaboration with global stakeholders.