We are a fast-growing Series A startup building cutting-edge technology to revolutionize cloud development processes and support highly efficient dev&test feedback loops. We’ve closed our last $25mil round in Q4 2024, led by Notable Capital, CRV and Heavybit.
At its core, LocalStack provides a high-fidelity emulator and local cloud development platform. Imagine developing cloud applications and data pipelines entirely on your local machine within a lightweight cloud sandbox, running in Docker!
Our mission is to empower developers to rapidly build and test their cloud applications, allowing for a more enjoyable dev experience, and saving valuable time and resources.
LocalStack has a large and active open-source community (57k+ stars on GitHub) with over 100k active users worldwide and 290M+ downloads to date. Our customer base ranges from SMBs to Global Fortune 500 companies.
We are sustainably growing our globally distributed team across sectors
LocalStack is headquartered in Zurich/Switzerland , with a main engineering office in Vienna/Austria and remote team members from the US, FR, UK, CA, ES, and many more countries.
Check our our Notion Candidate Handbook and our GitHub!
This is the right opportunity for an already established Sr Data Engineer to redefine and optimize data processes at LocalStack.

REQUIREMENTS

✅What you will be working on/responsible for

• Maintain, monitor, and optimize data ingestion pipelines for our current data platform.
• Lead the development of our future data platform based on evolving business needs.
• Shape the data team roadmap and contribute to long-term strategic planning.
• Take full ownership of data ingestion from external sources, ensuring smooth functionality.
• Design and implement a robust data modelling and data lake solution architecture.
• Provide technical leadership and mentorship to the data engineering team.
• Collaborate with engineering teams to define and refine ingestion pipeline requirements.
• Work with stakeholders to gather business questions and data needs.

REQUIRED SKILLS & EXPERIENCE

✅Experience we expect you to bring to the role

• Ability and experience working with non technical stakeholders to gather requirements
• Ability to define technical initiatives required to satisfy business requirements
• Excellent knowledge of Python
• Experience in designing real time data ingestion solutions with massive volumes of data
• (preferred) Experience with AWS services commonly used in Data Engineering (like S3, ECS, Glue, EMR)
• Experience with relational databases and data warehouses, data orchestration and ingestion tools, SQL, and BI tools
• (preferred) Experience in working remotely/ in async settings
• Experience owning initiatives at the IC level
• Experience Providing guidance to junior engineers

✅What you will be working on/responsible for

• Maintain, monitor, and optimize data ingestion pipelines for our current data platform.
• Lead the development of our future data platform based on evolving business needs.
• Shape the data team roadmap and contribute to long-term strategic planning.
• Take full ownership of data ingestion from external sources, ensuring smooth functionality.
• Design and implement a robust data modelling and data lake solution architecture.
• Provide technical leadership and mentorship to the data engineering team.
• Collaborate with engineering teams to define and refine ingestion pipeline requirements.
• Work with stakeholders to gather business questions and data needs

✅Experience we expect you to bring to the role

• Ability and experience working with non technical stakeholders to gather requirements
• Ability to define technical initiatives required to satisfy business requirements
• Excellent knowledge of Python
• Experience in designing real time data ingestion solutions with massive volumes of data
• (preferred) Experience with AWS services commonly used in Data Engineering (like S3, ECS, Glue, EMR)
• Experience with relational databases and data warehouses, data orchestration and ingestion tools, SQL, and BI tools
• (preferred) Experience in working remotely/ in async settings
• Experience owning initiatives at the IC level
• Experience Providing guidance to junior engineer