Engineering Manager [DWH Data Tools] at Plata Card
May no longer be active — verify on the employer site
At a glance
- Company
- Plata Card
- Location
- Germany
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
✨ The Stack take on this Plata Card job
- 🏢 Plata Card has 34 jobs here, 34 with visa sponsorship see all
- 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
- 💡 No salary shown. Ask Plata Card if it is above the minimum.
Updated 2026-11-03, from our data and official sources.
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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.
Key skills
- Engineering management — in 68 other listings on The Stack
- Python — in 1173 other listings on The Stack
- Node.js — in 170 other listings on The Stack
- Go — in 226 other listings on The Stack
- Data warehousing — in 55 other listings on The Stack
- Superset — in 18 other listings on The Stack
- Jupyter Hub — not in any other listing on The Stack
- DataHub — not in any other listing on The Stack
- SRE processes
- Team leadership
- Product collaboration
- Stakeholder management
- Performance management
- Technical architecture
- Data integration
- Fintech
On The Stack (as of 2026-11-03)
Frequently asked questions about Plata Card
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.