# Senior Data Engineer at MULTIVERSE COMPUTING

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> Responsibilities: - Own end-to-end design and delivery of th

- **Company:** MULTIVERSE COMPUTING (https://jobs.trythestack.co/companies/multiverse-computing)
- **Location:** Spain
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, SQL, ETL/ELT, Data Modeling, Lakehouse Architecture, Apache Iceberg, Delta Lake, Apache Spark, Airflow, Kubernetes, Cloud Platforms, Data Governance, CI/CD, Infrastructure-as-Code, Git, NoSQL
- **Posted by employer:** 2026-07-21
- **Added to The Stack:** 2026-07-21
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://multiversecomputing.teamtailor.com/jobs/8102493-senior-data-engineer (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-data-engineer-multiverse-computing

## About the role

Responsibilities:
- Own end-to-end design and delivery of the data platform: lakehouse architecture, data catalog, governance and production releases.
- Design, implement and operate large-scale ETL/ELT pipelines and orchestrations to ensure clean, versioned and accessible data.
- Define data modeling, partitioning, schema evolution and versioning practices to keep datasets queryable and reproducible.
- Build and maintain authoritative data catalogs with metadata, lineage, sensitivity labels and access policies.
- Validate released datasets against sources (completeness, correctness, performance) and set objective acceptance criteria.
- Partner with ML and AI engineers to deliver data products consumable by analytics, APIs and ML workflows.
- Mentor other data engineers, review designs/code and raise engineering standards across the team.
- Track and evaluate emerging data technologies (open table formats, orchestration, governance) and drive adoption.

Requirements:
- Bachelor’s or Master’s in Computer Science, Software Engineering or related field.
- 4+ years professional experience in data engineering with ownership of production data systems.
- Strong Python and SQL skills; experience building ETL/ELT at scale (Spark, Airflow or similar).
- Hands-on experience with lakehouse/open table formats (Iceberg, Delta) and data cataloging.
- Familiarity with cloud data platforms (AWS/Azure/GCP), Kubernetes, CI/CD and IaC tools.
- Knowledge of data governance, lineage, schema evolution and access controls.
- Experience working with ML teams and delivering data for analytics/AI workflows.
- Strong communication skills and a pragmatic, quality-focused approach to engineering.

## Responsibilities

Own the end-to-end design and delivery of data platform architectures, including lakehouses and data governance. Implement large-scale ETL/ELT pipelines and collaborate with AI engineers to create consumable data products.

## Requirements

Requires a degree in Computer Science or a related field with over 4 years of professional data engineering experience. Expertise in Python, SQL, distributed processing frameworks, and cloud data platforms is essential.

## FAQ

- **Is this Senior Data Engineer role still open?** It was posted on 2026-07-21. Listings more than 30 days old may no longer be active, so check MULTIVERSE COMPUTING's site before applying.
- **Does MULTIVERSE COMPUTING offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on MULTIVERSE COMPUTING's site.
- **Where is this role located?** The listing gives the location as Spain. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, SQL, ETL/ELT, Data Modeling, Lakehouse Architecture, Apache Iceberg, Delta Lake, Apache Spark, Airflow, Kubernetes, Cloud Platforms, Data Governance, CI/CD, Infrastructure-as-Code, Git, NoSQL.

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