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Engineering Manager - Python [Data Tools]

Plata Card · Worldwide

onsitefull-timemid level

About this role

We are seeking an experienced and driven Engineering Manager (Team Lead) 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 to fit specific business needs.

This role merges technical leadership with comprehensive team management. The ideal candidate will possess strong people leadership skills, technical expertise in Python (used in our existing tools), and a proven track record in managing engineering teams and data platforms. You will be pivotal in planning, optimizing development processes, and translating product ideas into robust technical solutions to solve user pain points.

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 the business-side Product Manager (based in Mexico) to understand user pain points. Lead the brainstorming of technical solutions (with or without a Tech Lead) to address these requests 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.
  • Process Optimization: Monitor, tune, and continuously improve the development execution process to ensure maximum team efficiency and high-quality delivery.
  • Service Maintenance & SRE: Oversee service maintenance in strict alignment with SRE processes, taking responsibility for the reliability, stability, and incident control of the tools within the DWH.
  • IT Support Collaboration: Manage IT support workflows and collaborate closely with the IT Support Automation Engineer to streamline and automate support processes.
  • 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:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience in leading engineering teams with a strong focus on direct people management and team growth.
  • Solid experience with Python (essential for managing and maintaining our existing tools).
  • Strong technical expertise in designing, deploying, and managing data tools (e.g., BI platforms, data notebooks, or data catalogs).
  • Deep experience in brainstorming technical solutions and translating business requirements/user pains into technical architecture.
  • Proven ability to manage flexible planning, balancing dynamic priorities and deadlines.
  • Experience in monitoring and tuning software development lifecycles and execution processes.
  • Strong knowledge of SQL, database concepts, data modeling, and data warehousing.
  • Excellent communication and collaboration skills, specifically the ability to partner effectively with cross-regional product management.
  • Open mind for problem-solving, with strong troubleshooting and organizational skills.

Your bonus skills:

  • Experience with Golang (highly preferred, as it is the main company stack for new tools).
  • Experience implementing or maintaining services alongside SRE processes.
  • Work experience in the 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, or Kazakhstan — 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

Jobb.ai is an independent skill benchmarking platform. Applications are submitted on the employer's official website.