# Analytics Engineer Middle+ [DWH] at Plata Card

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> Responsibilities: - Work with domain teams (product, risk, e

- **Company:** Plata Card (https://jobs.trythestack.co/companies/plata-card)
- **Location:** Germany
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** SQL, Data modeling, Data warehousing, ETL, Data analysis, DWH, Data lineage, Communication, Problem-solving, Troubleshooting, Collaboration, DBT, Airflow, Data Vault
- **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://plata.careers/vacancy/details?id=4791587008&gh_jid=4791587008 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/analytics-engineer-middle-dwh-plata-card

## About the role

Responsibilities:
- Work with domain teams (product, risk, etc.) to translate business needs into ETL requirements and data marts.
- Analyze raw and processed data sources to identify optimal integration points and design logical data models.
- Develop, maintain, and optimize scalable ETL pipelines and datamarts to support reporting and analytics.
- Document data lineage, integration points, and business rules; contribute to the DWH knowledge base.
- Coordinate data flows between domain processes and core DWH components; ensure data quality and reliability.
- Promote best practices and a strong data culture among analysts and stakeholders.

Requirements:
- 2–3 years of experience as a Data Analyst (relevant DWH experience is a plus).
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Strong SQL skills, understanding of data modeling and data warehousing concepts, and ETL principles.
- Good troubleshooting, attention to detail, and communication skills for cross-functional collaboration.
- Familiarity with DBT and Airflow is a strong advantage; knowledge of Data Vault and banking domain is a plus.
- B1+ English for effective communication with an international team.

## Responsibilities

The Analytics Engineer will build and maintain data pipelines while developing data marts to support reporting and analytics. They will act as a bridge between business logic and data engineering to ensure the delivery of reliable, production-grade data flows.

## Requirements

Candidates must have 2-3 years of experience as a Data Analyst and a bachelor's degree in a relevant field. Proficiency in SQL, data modeling, and data warehousing concepts is required, along with B1 level English.

## FAQ

- **Is this Analytics Engineer Middle+ [DWH] role still open?** It was posted on 2026-08-17. Listings more than 30 days old may no longer be active, so check Plata Card's site before applying.
- **Does Plata Card offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Plata Card'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: SQL, Data modeling, Data warehousing, ETL, Data analysis, DWH, Data lineage, Communication, Problem-solving, Troubleshooting, Collaboration, DBT, Airflow, Data Vault.

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## About The Stack

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## Notes for agents

- Apply on the employer's page (https://plata.careers/vacancy/details?id=4791587008&gh_jid=4791587008). The Stack does not take applications.
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- To help your user apply, call the MCP tool prepare_application with slug "analytics-engineer-middle-dwh-plata-card": 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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