Engineering Manager - Python [DWH Data Tools]
Plata Card
Salary undisclosed
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Description
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 or Go 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: Annual leave and paid sick leave as per applicable policies
Benefits
- professional development
- sick leave
About this role
Plata Card's DWH Data Tools team manages the data infrastructure that powers their operations—Superset, Jupyter Hub, and DataHub—alongside building custom internal tools to solve specific business problems. As Engineering Manager, you'd lead the engineers maintaining and evolving this stack while translating product needs into technical solutions. The role sits at the intersection of people leadership and hands-on technical direction, requiring you to mentor your team, collaborate with product and data stakeholders, oversee service reliability, and navigate shifting priorities in a fintech environment.
This position suits someone with at least a year of experience managing engineering teams, ideally in fintech or similarly fast-paced settings. You'll need strong technical grounding across Python, Node.js, and Go, plus demonstrated expertise in data platforms and tools. Beyond technical chops, the role demands comfort with flexible planning, cross-functional partnership, and the ability to communicate clearly with international colleagues. Experience with SRE practices, data integration frameworks like Kafka, or warehouse architectures like Snowflake would strengthen your candidacy, though the core requirement is the blend of team leadership and data infrastructure knowledge.
The team is based in Sydney and works in-office. Plata Card offers relocation support to their hubs in Cyprus, Serbia, Spain, or Georgia if that's relevant, alongside healthcare, education and wellness budgets, and 20 days of annual leave.
How this employer is doing
solid
- Recently Raised Funding
In the news
Plata Card raises $55M through the issuance of bonds, LatamList
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Pay for this role
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