Lead the design and implementation of cutting-edge data architectures that elevate business operations and play a pivotal role in shaping the data landscapes of our diverse range of clients. Work closely with cross-functional teams, analyze business requirements, strategize data solutions, and execute designs that optimize data storage, integration, and accessibility.
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As a SQL Developer, you’ll build and optimize data structures, develop ETL/ELT processes, and deliver high-quality datasets across multiple systems. You will design, develop, and maintain SQL scripts, stored procedures, and functions for data integration, transformation, and validation, collaborating with data modelers and architects to ensure alignment with data standards.
Build data pipelines that collect and transform data to support ML models, analysis and reporting. Work in a high volume production environment making data standardized and reusable, from architecture to production. Work with an international multidisciplinary team of data engineers, data scientists and data analysts.
Hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries. The role involves building shippable software, maintaining engineering blocks, supporting the current stack, working on R&D projects, and ensuring timely deliveries of required quality.
As a data developer, you will be part of a dynamic team in an agile environment, collaborating with product managers (PMs) and other stakeholders. Your role will be key in building and maintaining a Data Lakehouse using Azure and Databricks, ensuring the correct delivery and availability of data for different areas of the business.
In this position, you will be responsible for designing and implementing data pipelines (ETL), ensuring the integrity and quality of information, conducting audits to identify inconsistencies, correcting them, and ensuring adherence to data governance standards. Demonstrate deep knowledge in data engineering to build and maintain non-interactive (batch, distributed) and real-time data pipelines with high availability.
The Data Platform team at Pismo integrates data produced by Pismo's Banking as a Service/Payments platform with its clients through batch processing or near real-time events with a robust, low-latency, and 100% cloud-based architecture. As a senior technical contributor on Pismo’s data stack, you'll lead the design and development of robust, scalable data pipelines using modern Big Data frameworks and champion engineering excellence in a remote position.
Join an exciting journey to transform data and analytics at Oetiker using cloud technologies like Microsoft Fabric and Power BI. As a key member of our small international analytics team, you’ll help implement enterprise planning in Power BI and contribute to core data engineering and analytics tasks. Based on your area of expertise and interests, the position can be tailored for best fit.
Develop and maintain data ingestion pipelines and integrate data from various sources, such as APIs and relational databases. Collaborate with business and analytics teams to understand data requirements. Ensure quality, security, and governance of the ingested data. Document processes and best practices in data engineering.
As part of the data engineering team, the Data Engineer is responsible for designing and optimizing data structure, developing ETL processes, preparing and maintaining related documents, and automating and implementing data processes for different data projects and products. Work closely with project teams in data related projects, and design and implement data structure/models.