Senior Data Engineer
Built Technologies- Full Time
- Senior (5 to 8 years)
Candidates should possess a Bachelor's degree in Computer Science, Data Science, or a related field, and ideally have 3+ years of experience in data engineering, with a preference for 5+ years. Strong analytical skills are required, particularly related to working with unstructured datasets, along with experience in building data pipelines, data warehouse solutions, and data models. Experience with metadata, dependency, and workload management is also beneficial.
As a Semi Senior Data Engineer, you will lead the building of a new business intelligence data stack, designing and implementing data pipelines, data warehouse, data models, and data analytics solutions. You will facilitate technical discussions and decisions to generate high-quality business and product insights, supporting internal users and collaborating with Product and Customer Success teams. Specific duties include working with defined requirements, building self-service analytics infrastructure, implementing analytics solutions, following agile methodology, and proactively contributing to company growth.
SaaS platform for marketing content creation
Stensul provides a platform that helps marketing teams create email and marketing content more efficiently. Its software-as-a-service (SaaS) platform allows teams to collaborate in real-time, which reduces the time and effort needed to produce high-quality marketing materials. By addressing common challenges like troubleshooting and rendering issues, Stensul can increase team productivity by up to 50%, leading to significant cost savings for its clients. Unlike many competitors, Stensul focuses specifically on large enterprises and top-tier brands, offering a tailored solution that meets their unique needs. The company's goal is to transform the marketing creation process, making it simpler and faster for its users.