Data Engineer at Superhuman

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• 🏢 Superhuman has 21 jobs here, 16 with visa sponsorship see all
• 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
• 💡 No salary shown. Ask Superhuman if it is above the minimum.

Updated 2026-11-03, from our data and official sources.

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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.

Key skills

• Data engineering — in 118 other listings on The Stack
• Distributed computing — in 6 other listings on The Stack
• SQL — in 527 other listings on The Stack
• Spark — in 54 other listings on The Stack
• Kafka — in 167 other listings on The Stack
• Terraform — in 463 other listings on The Stack
• Python — in 1173 other listings on The Stack
• Scala — in 29 other listings on The Stack
• Java
• ETL/ELT
• Airflow
• dbt
• Dagster
• Data modeling
• Data governance
• Cloud infrastructure

On The Stack (as of 2026-11-03)

• Superhuman has 20 other listings on The Stack, 15 of them marked as offering visa sponsorship.
• 162 visa-sponsored jobs in Germany on The Stack, posted in the last 60 days.
• 42 visa-sponsored data engineer jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about Superhuman

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.