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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Simple Life App - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Software as a Service, Information Engineering, Data Security, Shard (Database Architecture), Distributed Systems, Python (Programming Language), Operational Databases, Cloud Services, Standard Sql, Data Streaming, Load Balancing, Snowflake, Backend, Functional Programming, Api Gateway, Amazon Simple Queue Service (SQS), Terraform, Webhooks, Data Pipelines - **Published:** August 21, 2026 - **Apply:** https://www.buscojobs.com.es/senior-data-engineer-en-madrid-ID-368502211 ## About the Role To learn more, visit simple.Life.Simple is looking for a Senior Data Engineer to join our Tech team.Push the pace of innovation and build a future of a healthier world with us! Key Responsibilities Design, build, and maintain streaming pipelines.Develop custom ingestion pipelines from third?party APIs, webhooks, and SDKs.Migrate existing data ingestion pipelines from SaaS tools to our own infrastructure.Deliver data to the raw layer of our Snowflake warehouse with schema consistency, idempotency, and resilience to malformed or late data.Evolve the existing AWS streaming stack (Kinesis, SQS, Lambda, API Gateway), improving cost efficiency, observability, and resilience.Maintain infrastructure as code (Terraform) for ingestion and processing resources.Monitor pipelines, troubleshoot, and resolve incidents.Contribute to our ongoing work on safe data access for AI agents and tooling.Continuously improve ingestion architecture, tooling, and engineering practices.What We're Looking For 5+ years of commercial Python experience in a backend or data engineering role.Solid understanding of distributed systems architecture, including load balancing, sharding, and trade?offs between synchronous and asynchronous processing.Hands?on experience with cloud services, preferably AWS (Lambda, API Gateway, containers in ECS/EKS). Experience building streaming pipelines (Kinesis, SQS, or equivalents). Experience with infrastructure as code (Terraform or equivalents). Working knowledge of SQL: ability to read and write queries, including joins and window functions.Commercial experience with real?world production data: ability to design systems that gracefully handle messy, duplicated, delayed, or malformed input.Solid understanding of how data flows through production systems, including the ability to anticipate and prevent downstream issues.Operational mindset: comfortable owning production systems and monitoring them.Ability to make architectural decisions independently and review the work of teammates.Nice to Have Strong SQL and data modeling skills.Experience with Snowflake and dbt.Experience with workflow orchestrators (Airflow, Dagster, Prefect, or equivalents). Experience working with analytics and product teams as a data provider.Experience working with sensitive or regulated data.Perks And Benefits Open-minded teams, a welcoming and inclusive company culture, plus the opportunity to make a real difference with a game-changing health tech product.A competitive salary package based on your unique expertise, skillset, and impact on the product plus stock options.In?office, remote and hybrid work opportunities.The equipment whatever you need to be happy and productive.A premium SIMPLE subscription.21 days annual leave, plus ## Description Simple Life is the #1 AI-powered health coaching app for adults who want to lose weight and enjoy a healthier lifestyle-without the stress or extremes.Our mission is to empower people to feel their best every day.By challenging traditional, restrictive approaches, Simple offers a more sustainable method grounded in ease, personalization, and real-life support.Simple has had over 17 million downloads and more than 300,*****-star reviews, having helped millions lose weight successfully and sustainably.Simple has earned recognition as Best Virtual Coach and one of the Top 100 AI companies - all thanks to a dedicated global team driving real impact.With SIMPLE as a partner in their pocket, users feel cared for and empowered to embrace - and stick to - new healthy habits.To learn more, visit simple.Life.Simple is looking for a Senior Data Engineer to join our Tech team.Push the pace of innovation and build a future of a healthier world with us!Key Responsibilities Design, build, and maintain streaming pipelines.Develop custom ingestion pipelines from third?party APIs, webhooks, and SDKs.Migrate existing data ingestion pipelines from SaaS tools to our own infrastructure.Deliver data to the raw layer of our Snowflake warehouse with schema consistency, idempotency, and resilience to malformed or late data.Evolve the existing AWS streaming stack (Kinesis, SQS, Lambda, API Gateway), improving cost efficiency, observability, and resilience.Maintain infrastructure as code (Terraform) for ingestion and processing resources.Monitor pipelines, troubleshoot, and resolve incidents.Contribute to our ongoing work on safe data access for AI agents and tooling.Continuously improve ingestion architecture, tooling, and engineering practices.What We're Looking For 5+ years of commercial Python experience in a backend or data engineering role.Solid understanding of distributed systems architecture, including load balancing, sharding, and trade?offs between synchronous and asynchronous processing.Hands?on experience with cloud services, preferably AWS (Lambda, API Gateway, containers in ECS/EKS).Experience building streaming pipelines (Kinesis, SQS, or equivalents).Experience with infrastructure as code (Terraform or equivalents).Working knowledge of SQL: ability to read and write queries, including joins and window functions.Commercial experience with real?world production data: ability to design systems that gracefully handle messy, duplicated, delayed, or malformed input.Solid understanding of how data flows through production systems, including the ability to anticipate and prevent downstream issues.Operational mindset: comfortable owning production systems and monitoring them.Ability to make architectural decisions independently and review the work of teammates.Nice to Have Strong SQL and data modeling skills.Experience with Snowflake and dbt.Experience with workflow orchestrators (Airflow, Dagster, Prefect, or equivalents).Experience working with analytics and product teams as a data provider.Experience working with sensitive or regulated data.Perks And Benefits Open-minded teams, a welcoming and inclusive company culture, plus the opportunity to make a real difference with a game-changing health tech product.A competitive salary package based on your unique expertise, skillset, and impact on the product plus stock options.In?office, remote and hybrid work opportunities.The equipment whatever you need to be happy and productive.A premium SIMPLE subscription.21 days annual leave, plus ## Related Videos - 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