Speechify is a fast-growing AI-powered platform that helps millions of users consume content with exceptional accessibility. We are looking for a Software Engineer, Data Infrastructure & Acquisition to join our Munich team.
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The Role
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As a Software Engineer, Data Infrastructure & Acquisition, you will design and maintain data ingestion pipelines, build reliable data infrastructure to support analytics, ML experiments, and product insights, and partner with data and platform teams to ensure high data quality and availability.
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Responsibilities
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\n- Build and maintain robust data ingestion pipelines from multiple sources into our data warehouse
\n- Develop scalable batch and streaming data processing solutions
\n- Collaborate with data scientists, product and platform engineers to understand data needs and deliver clean datasets
\n- Monitor data quality, implement validation, error handling, and incident response
\n- Optimize SQL queries, data models, and ETL/ELT processes for performance
\n- Document pipelines, models, and best practices; participate in peer reviews
\n- Ensure security and compliance in data handling
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Requirements
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\n- 3+ years of experience in data engineering or software engineering with data pipelines
\n- Strong Python and SQL programming skills
\n- Experience with cloud platforms (AWS or GCP; Azure is a plus) and data warehousing technologies
\n- Familiarity with ETL frameworks (Airflow, Dagster, or similar) and data quality tooling
\n- Excellent problem-solving, communication, and collaboration
\n- Nice-to-have: streaming data experience (Kafka/Kinesis), knowledge of Snowflake or equivalent
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Benefits
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\n- Competitive salary and equity
\n- Health benefits and flexible spending
\n- On-site in Munich with potential hybrid options
\n- Flexible work hours and team-centric culture
\n- Opportunities for growth and learning
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How to Apply
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Apply via the Greenhouse listing: Speechify – Software Engineer, Data Infrastructure & Acquisition