Senior Data Engineer

Join our team as a Senior Data Engineer, where you'll be responsible for designing, building, maintaining, and optimizing data pipelines across our global product portfolio. You'll have the opportunity to work with cutting-edge technologies, embrace AI-assisted development, and explore emerging innovations such as AI agents, agentic workflows, and intelligent automation to shape the future of data engineering at Sinch. We're seeking someone with a proven background in SQL, Python, and ETL/ELT, who takes a proactive approach to solving complex challenges and building scalable, reliable data solutions. Beyond traditional data engineering, we value an innovative mindset and curiosity about how AI-powered development tools, LLMs, and autonomous agents can improve engineering productivity, automate workflows, and unlock new possibilities across our data platforms. This role offers a unique opportunity to lead, drive, and implement impactful initiatives in a rapidly growing global business. You'll play an important role in evolving our data architecture, championing modern engineering practices, and exploring how emerging AI technologies can transform the way we build and operate data solutions. Lead data engineering projects, driving technical decisions and ensuring successful delivery of scalable, high-quality solutions. Act as a technical authority, supporting leadership and mentoring team members on architecture, engineering practices, and emerging technologies. Champion engineering excellence through code reviews, automation, AI-assisted development, and continuous improvement. Promote modern data engineering practices, encouraging innovation and the adoption of new tools and technologies across teams. Explore opportunities to leverage AI agents, LLMs, and agentic workflows to automate development tasks, streamline data operations, and improve engineering efficiency. Drive data integration efforts across diverse platforms and products, enabling seamless access to reliable data throughout Sinch. Contribute to the development, performance, quality, monitoring, and maintenance of data pipelines, ensuring scalability, reliability, and operational excellence. Identify opportunities to improve our products, business processes, and data architecture through insightful data analysis, intelligent automation, and innovative engineering solutions.

REQUIREMENTS We believe you are a professional skilled in pipeline development and governance, with experience in tools for virtualization and a background in real-time data processing. Your organizational prowess is evident in breaking down projects efficiently, and your expertise extends to designing new data architectures with a focus on security standard processes. Your diverse skills make you a valuable asset, poised to drive innovative data solutions for our dynamic team and evolving business. Proficient in software development with expertise in Python, Spark, Git, CI/CD, and Docker. Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Claude, or similar) to accelerate coding, debugging, testing, and documentation while maintaining high standards of code quality, security, and maintainability. Skilled in using SQL for data querying and ETL/ELT development. Strong interest in emerging AI technologies, particularly AI agents and agentic workflows, with a curiosity for exploring how LLMs, autonomous agents, and AI-driven automation can enhance data engineering processes and developer productivity. 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…