Engineering Manager [DWH Data Tools]

Plata Card; Deutschland; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Relocation support

Flexible work options

Healthcare coverage

Education budget

Wellness budget

Vacation leave

Zusammenfassung

Plata Card is seeking an experienced Engineering Manager to lead the DWH Data Tools team. You will guide architecture and development of data tools like Superset, Jupyter Hub, and DataHub, while mentoring engineers and aligning efforts with product goals.

The role combines technical leadership with people management, requiring strong collaboration across teams and proven ability to navigate changing priorities in a fintech context. Relocation and flexible work options are available.

Qualifikationen

• 1+ years of experience managing engineering teams in fast-paced settings (fintech preferred).
• Strong skills in cross-functional collaboration and partnership building.
• Proven ability to design, deploy, and manage data tools and platforms (BI, notebooks, data catalogs).
• Ability to balance flexible planning with shifting priorities and deadlines.
• Excellent communication skills and the ability to collaborate across regions and teams.
• English level at B1+ for effective international communication.

Aufgaben

• Lead and mentor a team of engineers; manage performance and development.
• Collaborate with product stakeholders to translate vision into technical designs.
• Drive planning, development plans, and manage flexible deadlines.
• Oversee architecture and development of data tools (Superset, Jupyter Hub, DataHub).
• Ensure reliability and incident control aligned with SRE processes.

Kenntnisse

Leadership

Team Management

Cross-functional Collaboration

Strategic Planning

Communication

English Proficiency

Tools

Python

Go

Node.js

Superset

Jupyter Hub

DataHub

Kafka

Airflow

DBT

Kubernetes

Snowflake

Jobbeschreibung

We are looking for an experienced and driven Engineering Manager to manage our DWH Data Tools team. This team is responsible for managing and evolving our critical data ecosystem tools, including Superset, Jupyter Hub, and DataHub, while also developing new, in-house solutions - including internal BI and data-exploration tools - to fit specific business needs.

This role merges technical leadership with comprehensive team management. The ideal candidate will possess strong leadership skills and technical expertise across the team’s stack - Python, plus Node.js and Go - along with a proven track record managing engineering teams and data platforms. You will be pivotal in planning, optimizing development processes, and translating product ideas into robust technical solutions that solve real user pain points - often while navigating shifting priorities and evolving business needs.

Challenges that await you:

• People Management: Lead, mentor, and manage a team of engineers. Take ownership of their performance, regular 1-on-1s, and continuous professional development
• Product Collaboration & Solution Brainstorming: Collaborate closely with product stakeholders to understand user pain points. Lead the brainstorming of technical solutions and translate product vision into actionable designs
• Planning & Execution: Drive planning activities for the team. Create and manage development plans, adeptly handling flexible deadlines and shifting business priorities
• Service Maintenance: Oversee service maintenance in strict alignment with SRE processes, taking responsibility for the reliability, stability, and incident control of the tools within the DWH
• Architecture & Development: Oversee the architecture, design, and implementation of data tools (Superset, Jupyter Hub, DataHub) and lead the development of custom solutions to meet new business requirements
• Stakeholder Communication: Manage communication with data engineers, analysts, and other stakeholders to ensure seamless data integration and tool usability

What makes you a great fit:

• 1+ years of experience managing engineering teams in fast-paced settings, preferably fintech with Python, Go or Node.js stack
• Hiring, development, performance, and delivery management and strong skills in cross-functional collaboration and the ability to build partnerships
• Strong technical expertise in designing, deploying, and managing data tools (e.g., BI platforms, data notebooks, or data catalogs)
• Proven ability to manage flexible planning, balancing dynamic priorities and deadlines
• Excellent communication and collaboration skills, with the ability to partner effectively across teams and regions
• An adaptable, structured mindset — able to prioritize effectively and stay grounded amid ambiguity and change
• B1 or higher English level for effective communication with an international team

Your bonus skills:

• Experience implementing or maintaining services alongside SRE processes
• Work experience in DWH and/or the banking/fintech sphere
• Familiarity with the technical stacks or internals of Superset, Jupyter Hub, or DataHub
• Experience with data integration frameworks (e.g., Apache Kafka)
• Knowledge of ETL tools (e.g., Airflow, DBT)
• Experience with Kubernetes
• Experience with Snowflake or Lake House architectures

Our ways of working:

• Innovative Spirit: A commitment to creativity and groundbreaking solutions
• Honest Feedback: valuing open, transparent communication
• Supportive Team: a strong, collaborative community
• Celebrating Achievements: recognizing our wins together
• High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances

Our benefits:

• Relocation support to one of our hubs — Cyprus, Serbia, Spain or Georgia — with assistance for the employee and their family
• Flexible work from one of our offices or remote
• Healthcare Coverage
• Education Budget: Language lessons, professional training and certifications
• Wellness Budget: Mental health and fitness activity reimbursements
• Vacation policy: 20 days of annual leave and paid sick leave