# Engineering Manager [DWH Data Tools] at Plata Card

> 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: - Lead, hire and mentor the DWH Data Tools

- **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:** Engineering management, Python, Node.js, Go, Data warehousing, Superset, Jupyter Hub, DataHub, SRE processes, Team leadership, Product collaboration, Stakeholder management, Performance management, Technical architecture, Data integration, Fintech
- **Posted by employer:** 2026-08-21
- **Added to The Stack:** 2026-08-21
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://plata.careers/vacancy/details?id=5395249008&gh_jid=5395249008 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/engineering-manager-dwh-data-tools-plata-card

## About the role

Responsibilities:
- Lead, hire and mentor the DWH Data Tools engineering team (Superset, Jupyter Hub, DataHub and in-house BI tools).
- Define team roadmap, prioritize work, run planning cycles and ensure timely delivery against shifting business needs.
- Collaborate with product and stakeholders to translate user pain points into technical solutions and roadmaps.
- Oversee architecture, development and maintenance of data tooling; ensure reliability and alignment with SRE practices.
- Drive service stability, incident response and post-incident reviews for the tooling ecosystem.
- Facilitate cross-functional communication with data engineers, analysts and product teams.

Requirements:
- 1+ year of people management experience in fast-paced environments; experience in fintech is a plus.
- Strong technical background with Python and familiarity with Node.js and/or Go.
- Practical experience with BI platforms, notebook environments and data catalogs (e.g., Superset, Jupyter Hub, DataHub).
- Proven ability to run flexible planning, prioritize competing demands and manage delivery.
- Experience with SRE processes, service reliability and incident management preferred.
- Strong communication and stakeholder management skills; English at B1+ level.
- Bonus: hands-on DWH, data integration experience or banking/fintech domain knowledge.

## Responsibilities

Lead and mentor a team of engineers while managing the development and evolution of critical data ecosystem tools. Collaborate with stakeholders to translate product vision into robust technical solutions and ensure service reliability through SRE processes.

## Requirements

Requires at least 1 year of experience managing engineering teams in a fast-paced environment, preferably within fintech. Candidates must possess strong technical expertise in data tools and proficiency in Python, Go, or Node.js.

## FAQ

- **Is this Engineering Manager [DWH Data Tools] role still open?** It was posted on 2026-08-21. 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: Engineering management, Python, Node.js, Go, Data warehousing, Superset, Jupyter Hub, DataHub, SRE processes, Team leadership, Product collaboration, Stakeholder management, Performance management, Technical architecture, Data integration, Fintech.

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