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Top Data Engineer Jobs in Berlin
As a Staff Software Engineer at Personio, you will design and implement scalable data platform solutions, enhance developer experience, collaborate with product teams, manage technical debt, and mentor fellow engineers, driving innovation and improving system reliability.
The Data Engineer will architect and lead the transition from on-premises batch architecture to a cloud-based streaming data platform, focusing on data warehousing, ETL pipelines, and data governance. The role involves collaboration with cross-functional teams and fostering a culture of technical excellence.
As a Senior Data Engineer, you will design and optimize data pipelines, create scalable data solutions, and enhance the data infrastructure. You'll collaborate with various teams, mentor colleagues, and ensure reliable performance of the data platforms.
As a Data Engineer at Vay, you'll develop and maintain ETL pipelines and APIs, manage cloud infrastructure, and ensure data integrity. You will collaborate with teams to improve the reliability and performance of the data platform, utilizing tools like AWS, Snowflake, and various data formats.
The Senior Data Engineer will develop and maintain a scalable cloud-based data backbone for a data-driven company, leveraging AWS for both streaming and batch processing. Responsibilities include creating a financial data warehouse, preparing data for analytics, collaborating with data scientists, and building dashboards for stakeholders.
The Data Engineer will build high-quality data warehouses and marketing automation systems, integrate data from various systems, and evaluate AI use cases. They will work in an agile environment with the Analytics team to ensure access to data for the organization, contributing to scalable data-driven applications.
As a Data Engineer, you'll design and manage batch and streaming data pipelines, ensuring quality and scalability, while collaborating with cross-functional teams. Your role involves developing automated tests for data quality and effectively navigating complex data sources.
As a Principal Data Engineer, you will design and develop large-scale data systems to enhance customer engagement. Responsibilities include architecting data pipelines, implementing best practices in development, mentoring engineers, and collaborating with cross-functional teams to deliver personalized content to over 50 million customers.
As a Senior Principal Data Engineer at Zalando, you will design and build high-quality data infrastructure solutions, lead architectural efforts, manage junior engineers, ensure data compliance, and collaborate across teams to drive the data strategy for the company.
As a Senior ML Engineer, you will develop and maintain scalable machine learning products, operate backend microservices on Kubernetes and AWS, and improve data pipelines while collaborating with data scientists to productionize ML solutions. You will also participate in A/B testing, generate insights from customer data, and contribute to the engineering culture.
Develop and enhance a cloud-based data backbone, design and operate data pipelines in AWS, clean and prepare data for analytics, collaborate with data scientists, create dashboards for stakeholders, and promote data best practices.
As a Data Engineer at Aircall, you'll design and implement real-time distributed data pipes for analytics and products, ensuring high reliability and low latency. You'll support teams with best practices, build a scalable serverless infrastructure, and contribute to ongoing data projects.
As a Middle Data Engineer, you will enhance online car markets by developing and maintaining data pipelines, working with AWS services and SQL, and collaborating with a senior engineering team to improve tools and drive initiatives.
As a Data Engineer at Zalando, you will design and develop data pipelines for accurate business process data, leveraging a cloud-based tech stack including AWS, Databricks, and Python. You will improve data integration processes, analyze business requirements, and contribute to the engineering culture through knowledge sharing and innovation.
As a Strong Middle Data Engineer, you will enhance online car markets and improve user experience. Responsibilities include simplifying existing tools, managing technical debt, proposing improvements, and collaborating closely with Senior Engineers and management.
As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.
You will design, build, and maintain data-related infrastructure and systems to support our AI-powered sales platform, leveraging your expertise to allow efficient access and processing of information.
The Data Engineer II at PriceSpider is responsible for building and maintaining enterprise-level data infrastructure and tools. Responsibilities include developing complex data pipelines, quality monitoring solutions, and working with data analytics platforms like Snowflake and BigQuery. The role requires strong data manipulation skills and experience in managing large datasets.
The Data Engineer will work closely with a multidisciplinary team to build and optimize data infrastructure for e-commerce operations. Responsibilities include establishing data architectures, developing ETL pipelines, ensuring data quality, and supporting various business functions by leveraging data products.
As a Senior Data Engineer on the central Data Platform team, you will enhance Databricks efficiency, analyze resource usage, support various teams with solutions, and drive action based on data insights while staying updated on best practices.
This role involves building an A/B testing platform, enhancing marketing attribution systems, improving data discoverability, and collaborating with various teams to deliver data-driven decision-making solutions while mentoring peers.
The Senior Data Platform Engineer will design, build, and maintain data pipelines and services within Zalando's Central Data Lake, ensuring data security, compliance, and reliability. The role involves collaborating with teams to implement high-performance data integration systems and driving innovations in data transformation.
As a Senior Data Engineer, you'll optimize large datasets for business use cases, employ machine learning for insights, and lead the design of data platforms for real-time processing and decision-making. You'll collaborate with stakeholders to fulfill data intelligence solutions and analyze customer behavior to enhance after-sales processes.
Join Snowflake as a Senior Software Engineer in the SQL Data Types team in Berlin, Germany. Design, develop, and support complex systems for storing and processing data, collaborating with various teams for the best outcome. Ideal candidates have 6+ years of industry experience, strong CS fundamentals, and fluency in C++ and/or Java.
Join Snowflake in Berlin, Germany as a Senior Software Engineer to work on building the next generation streaming data platform. Responsibilities include designing and building distributed data systems, collaborating with global teams, and ensuring operational readiness of services.
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