Senior Data Engineer
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 300,000 5-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 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:
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Design, build, and maintain streaming pipelines.
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Develop custom ingestion pipelines from third-party APIs, webhooks, and SDKs.
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Migrate existing data ingestion pipelines from SaaS tools to our own infrastructure.
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Deliver data to the raw layer of our Snowflake warehouse with schema consistency, idempotency, and resilience to malformed or late data.
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Evolve the existing AWS streaming stack (Kinesis, SQS, Lambda, API Gateway), improving cost efficiency, observability, and resilience.
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Maintain infrastructure as code (Terraform) for ingestion and processing resources.
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Monitor pipelines, troubleshoot, and resolve incidents.
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Contribute to our ongoing work on safe data access for AI agents and tooling.
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Continuously improve ingestion architecture, tooling, and engineering practices.
What we’re looking for:
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5+ years of commercial Python experience in a backend or data engineering role.
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Solid understanding of distributed systems architecture, including load balancing, sharding, and trade-offs between synchronous and asynchronous processing.
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Hands-on experience with cloud services, preferably AWS (Lambda, API Gateway, containers in ECS/EKS).
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Experience building streaming pipelines (Kinesis, SQS, or equivalents).
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Experience with infrastructure as code (Terraform or equivalents).
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Working knowledge of SQL: ability to read and write queries, including joins and window functions.
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Commercial experience with real-world production data: ability to design systems that gracefully handle messy, duplicated, delayed, or malformed input.
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Solid understanding of how data flows through production systems, including the ability to anticipate and prevent downstream issues.
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Operational mindset: comfortable owning production systems and monitoring them.
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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.
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Experience with workflow orchestrators (Airflow, Dagster, Prefect, or equivalents).
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Experience working with analytics and product teams as a data provider.
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Experience working with sensitive or regulated data.
Perks and Benefits:
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Open-minded teams, a welcoming and inclusive company culture, plus the opportunity to make a real difference with a game-changing health tech product.
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A competitive salary package based on your unique expertise, skillset, and impact on the product plus stock options.
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In-office, remote and hybrid work opportunities.
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The equipment whatever you need to be happy and productive.
- A premium SIMPLE subscription.
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21 days annual leave, plus bank holidays (those observed where you live).
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Flexible hours. We focus on your results, not how long you spend at your desk.
About our values:
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Think deeper: We understand that in order to grow we need to make all our decisions reality-based and change our opinion based on what we learn. We appreci