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Senior Software Engineer, Data Backend

Appier — Netherlands · Posted ~2 hours ago

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Skills

Backend software development Data warehouse development ETL pipeline development Data collection and processing Data storage Public cloud deployment Distributed systems Data operations ETL Data warehouses Public cloud

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Summary ✨ AI‑Generated

An international AI software company is seeking a senior backend engineer to develop and operate critical data infrastructure. The role involves building data warehouses and ETL pipelines, supporting analytics, and deploying large-scale systems across public cloud environments.

Highlights

Work on large-scale data infrastructure supporting artificial intelligence applications, including data warehouses, ETL pipelines, and globally distributed cloud deployments. The position offers opportunities to contribute to advanced machine learning systems and complex engineering projects.

Description

About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform. Responsibilities Develop and operate data warehouse system and ETL pipeline for data access, collection, processing, and storage, and support data analysis tasks. Manage deployment of the platform on public clouds with hundreds of instances across the globe. Dedicate to Big Data and Machine Learning Platform using Apache Spark, Hudi, Trino and related technologies. Responsible for laying the foundation for the platform as well as proposing solutions to ease software development, monitoring of software, etc. Handling hundreds of terabytes of data. About you [Minimum qualifications] BS/BA degree in Computer Science 2+ years of experience in building and operating large-scale distributed systems or applications Experience in building ETL pipeline with using Apache Spark Experience in managing data lake or data warehouse Expertise in developing data structures, algorithms on top of Big Data platforms Ability to operate effectively and independently in a dynamic, fluid environment Ability to work in a fast-moving team environment and juggle many tasks and projects Eagerness to change the world in a huge way by being a self-motivated learner and builder [Preferred qualifications] 5+ years of experience in Internet Industry Contributing to open source projects is a huge plus (please include your github link) Experience working with Scala/Java is a plus Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus Experience with Public Cloud like AWS or GCP is a plus #LI-TC1