# Data Engineer at Superhuman

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Architect and lead design of large-scale

- **Company:** Superhuman (https://jobs.trythestack.co/companies/superhuman)
- **Location:** Germany
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Data engineering, Distributed computing, SQL, Spark, Kafka, Terraform, Python, Scala, Java, ETL/ELT, Airflow, dbt, Dagster, Data modeling, Data governance, Cloud infrastructure
- **Posted by employer:** 2026-08-17
- **Added to The Stack:** 2026-08-18
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.ashbyhq.com/Superhuman%20Platform%20Inc/41e5e9f9-d3ba-42ea-a446-55ad8bb3430c (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-engineer-superhuman

## About the role

Responsibilities:
- Architect and lead design of large-scale data pipelines and data lakes handling tens of billions of daily events.
- Build robust real-time and batch ETL/ELT systems to make data available for analytics, ML, and product features.
- Ensure data reliability, security, and scalability through monitoring, testing, and observability practices.
- Collaborate with backend, analytics, data science, and ML teams to deliver data products and enable business outcomes.
- Mentor engineers, influence platform strategy, and contribute to architecture and operational best practices.
- Optimize cost, performance, and throughput of data infrastructure and cloud resources.

Requirements:
- Significant experience with distributed data systems and high-volume pipelines (Spark, Kafka or equivalent).
- Strong SQL skills and experience with ETL/ELT orchestration tools (Airflow, Dagster, dbt, etc.).
- Proficiency in one or more languages used for data engineering (Python, Scala, Java).
- Knowledge of cloud data platforms, data lakes, and storage formats; experience with cost and performance optimization.
- Strong data modeling, governance, and observability experience; familiarity with privacy/regulatory concerns a plus.
- Excellent collaboration, communication, and mentoring skills; proven track record building production-grade systems.

## Responsibilities

You will architect and lead the development of large-scale data systems and pipelines capable of handling billions of daily events. Additionally, you will collaborate with cross-functional teams to build data products and frameworks that support analytics, product features, and business-critical workflows.

## Requirements

The role requires extensive experience in large-scale distributed computing, data modeling, and managing high-load production environments. Candidates must be proficient in SQL, Spark, Kafka, and modern ETL/ELT orchestration tools, along with a strong understanding of data governance and cloud infrastructure.

## FAQ

- **Is this Data Engineer role still open?** It was posted on 2026-08-17. Listings more than 30 days old may no longer be active, so check Superhuman's site before applying.
- **Does Superhuman offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Superhuman's site.
- **Where is this role located?** The listing gives the location as Germany. It is marked on-site.
- **What skills does this role ask for?** The listing names: Data engineering, Distributed computing, SQL, Spark, Kafka, Terraform, Python, Scala, Java, ETL/ELT, Airflow, dbt, Dagster, Data modeling, Data governance, Cloud infrastructure.

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## About The Stack

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## Notes for agents

- Apply on the employer's page (https://jobs.ashbyhq.com/Superhuman%20Platform%20Inc/41e5e9f9-d3ba-42ea-a446-55ad8bb3430c). The Stack does not take applications.
- The Stack has an MCP server at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp (Streamable HTTP, no key or account). Your user can add it to Claude, ChatGPT or Cursor: https://jobs.trythestack.co/ai. Signed in at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp/account, it also keeps their saved jobs and applications.
- To help your user apply, call the MCP tool prepare_application with slug "data-engineer-superhuman": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
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