Data Engineer

Overview

Data Engineer with 2+ years of experience, strong in Python, Spark, SQL, and GCP. Proven expertise in building and optimizing modern ETL/ELT pipelines, working with Data Lakes and Warehouses, using CI/CD and Docker, and ensuring high performance and reliability of data systems.

Sinch is a global leader in the growing market for Communication Platforms as a Service (CPaaS) and mobile customer engagement. We are specialists in allowing businesses to reach everyone on the planet, in seconds or less, through mobile messaging, email, voice, and video.

We reach every phone on earth. From the lifechanging to the timesaving, we're helping our customers to interact with people like never before. For you, that means working in an environment that offers an incredible variety of exciting challenges, and the chance to impact how billions of people engage with their favorite brands. The dream of personalizing content to all 15 billion phones on the planet is no fairy tale!More than 150,000 businesses, including many of the world's largest companies and mobile operators, use Sinch's advanced technology platform to engage with their customers. Moreover, Sinch has been profitable and fast-growing since its foundation. Sinch's core values are Make it Happen, Dream Big, keep it Simple and Win Together. These values describe how our global organization works and inspire every of our more than 5,000 employees across 60 different countries.

The essence of the role

• Build and develop enterprise-grade data products that can be consumed by multiple teams and systems across the organization.
• Design and implement robust, scalable data pipelines that ensure data accuracy and availability across multiple platforms.
• Work on the data integration of various Sinch platforms and products worldwide.
• Contribute to data pipelines development, performance, quality, monitoring, and maintenance.
• Optimize existing data workflows and databases for performance and scalability, using best practices and cutting-edge tools.
• Identify opportunities for improvement in our products, business, and architecture through the strategic use of data.
• Collaborate actively with data scientists, analysts, and product teams to understand data needs and deliver high-quality solutions.
• Stay up to date with current technologies and industry trends to contribute to our data strategy.

Who are you?

• Experience - 2+ Years.

• Consistent experience as a Data Engineer or in a related role.
• Strong knowledge of software development (e.g., Python, Spark, Git, CI/CD, Docker).
• Strong knowledge in the GCP cloud environment.
• Strong knowledge in SQL to query data and build ETL/ELT processes.
• Experience in designing modern data pipelines.
• Experience working with Data Lake and Data Warehouse concepts, using best practices to structure and store big volumes of data.
• Ability to troubleshoot data pipelines for performance and reliability.
• Experience in data pipeline creation/orchestration tools (e.g., Airflow, Dagster).
• Hands-on knowledge of cloud environments (e.g., GCP or AWS).
• Experience using database technologies such as Databricks, Snowflake or Delta Lake.
• Knowledge of different data architectures (e.g., Data Lake, Data Mesh, Data Fabric).
• Fluent English for effective communication with technical and business stakeholders.
• Demonstrated ability to collaborate and communicate effectively.

Being you at Sinch :

We're a worldwide group of people, committed to diversity. We're working to offer an increasingly inclusive workplace wherever you are. No matter who you are, you'll be able to explore new career and growth options - sharing your voice, building your path and making it happen with us.

We're proud to be an equal opportunity employer, and all qualified applicants will be considered to join our team regardless of race, colour, religion, gender identity or expression, sexual orientation, pregnancy, disability, age, veteran status, and more.

Your life at Sinch:

Being a Sincher is all about learning and being in pursuit of new challenges. Working in the offices, at home, or in a hybrid model, that means celebrating change and the unknown, rolling up your sleeves and seeing what impact you can have on the world. The only way is up, and you'll be reaching for the opportunities that match where you want to take your career. It's closer than you think.

It's time to chase the answers, chase the challenges and chase the dream.

Are you ready? Join us on our journey!