Data Engineer III

ABOUT SINCH

Sinch is pioneering the way the world communicates. More than 200,000 businesses — including Google, Uber, Paypal, Visa, Tinder, and many others — rely on Sinch’s Customer Communications Cloud to power engaging customer experiences through mobile messaging, voice, and email.

Whether you need to verify users or craft omnichannel campaigns, Sinch makes it easy. Our AI-infused Super Network, APIs, and applications ensure you can connect with your customers reliably and securely, at every step of their journey.

At Sinch we “Dream Big”, “Win Together”, “Keep it simple”, and “Make it Happen”. These values are our foundation!

DESCRIPTION

Join our team at Sinch as a Data Engineer, where you'll help design, build, maintain, and optimize data pipelines across our global product portfolio. You'll have the opportunity to work with modern technologies, embrace AI-assisted development, and explore emerging innovations such as AI agents, agentic workflows, and intelligent automation to help shape the future of data engineering at Sinch.

We're looking for someone with a solid foundation in SQL, Python, and ETL/ELT, who enjoys solving complex challenges and building scalable, reliable data solutions. We value curiosity, a collaborative mindset, and an interest in exploring how AI-powered development tools, LLMs, and AI agents can simplify engineering tasks, improve productivity, and create new opportunities for automation across our data platforms.

This role offers an exciting opportunity to contribute to impactful initiatives in a rapidly growing global business, develop your technical expertise, and experiment with new approaches to building and operating modern data solutions.

• Contribute to high-impact data engineering initiatives, delivering reliable and scalable solutions that create value for our customers and business.
• Support data integration efforts across diverse platforms and products, enabling seamless and efficient data movement throughout Sinch.
• Build, optimize, monitor, and maintain data pipelines, ensuring high standards of performance, quality, and reliability.
• Identify opportunities for improvement in our data pipelines, development processes, and engineering practices.
• Leverage AI-assisted development tools to accelerate coding, testing, debugging, and documentation while maintaining high code quality.
• Explore emerging AI technologies, including AI agents and agentic workflows, to support automation, simplify data operations, and improve engineering efficiency.
• Collaborate on data engineering projects, taking ownership of assigned tasks and contributing to their successful delivery.
• Continuously learn and experiment with modern data engineering technologies, sharing knowledge and contributing to a culture of innovation and continuous improvement.

REQUIREMENTS

We believe you bring solid expertise in diverse data landscapes, coupled with proficiency in Informatica for the development and governance of pipelines. Your essential experience with virtualization tools, as well as your demonstrated capability in real-time data processing and analytics sets you apart. As an effective communicator, you effortlessly bridge the technical and business sectors. Your dedication to continual learning ensures that you stay current of industry trends and eagerly adopt new technologies.

• Proficient in software development with expertise in Python, Spark, Git, CI/CD, and Docker.
• Skilled in using SQL for data querying and ETL/ELT development.
• Experience in structuring and storing large volumes of data in data lakes and warehouses.
• Capable of fixing and optimizing data pipelines for enhanced performance and reliability.
• Familiarity with data pipeline orchestration tools like Airflow, Dagster, and experience using Databricks.
• Cloud experience in AWS or GCP.
• Knowledgeable about various data architectures such as Data Lake, Data Mesh, and Data Fabric.
• Strong communication skills with fluency in English for engaging with stakeholders from technical and business areas.

Our corporate language is English, please submit your application in English.

This role is hybrid role based in Stockholm and reporting to the Data Engineering Manager.

Candidates must have the right to work in Sweden. Relocation and work permit sponsorship are not available for this role.

OUR HIRING PROCESS

We are committed to ensuring a recruitment process that is fair, objective, consistent, and inclusive. Our approach includes structured, competency-based interviews designed to evaluate your skills, experience, and qualifications relevant to the role. At times, we may include a data-driven assessment to enhance our hiring success and identify candidates likely to excel.

We believe in a two-way process and encourage you to ask questions throughout the journey. If this role isn't what you're looking for, please explore the other opportunities listed on our career page: https://www.sinch.com/careers/. No matter who you are, we hope you find an exciting path forward - hopefully with us!

Salary:

The monthly salary for this position is between 45 000 to 60 000 SEK. Factors which may affect pay within this range may include skills, education, experience, and other qualifications.