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Engineering Manager - Python Data Tools

PlatacardWorldwide
Remote Full-time

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Experience Level

Manager

Qualifications

Bachelor's degree in Computer Science or a related field. Proven experience in a managerial role within engineering, particularly in data platforms. Strong leadership skills with a focus on team development and process improvement. Proficiency in Python and experience with data tools such as Superset, Jupyter Hub, and DataHub is highly desirable.

About the job

Join us as an Engineering Manager (Team Lead) to lead our DWH Data Tools team at Platacard. This team plays a crucial role in managing and enhancing our vital data ecosystem tools such as Superset, Jupyter Hub, and DataHub while innovating new in-house solutions tailored to our business needs.

This position blends technical leadership with effective team management. The right candidate will exhibit exceptional leadership abilities, deep technical knowledge in Python, and a solid history of managing engineering teams and data platforms. You will be instrumental in planning, improving development processes, and converting product concepts into powerful technical solutions that alleviate user challenges.

Key Challenges:

  • People Management: Guide, mentor, and oversee a team of engineers, ensuring their performance through regular one-on-ones and ongoing professional development.
  • Product Collaboration & Solution Development: Work closely with the Product Manager to identify user challenges. Lead the brainstorming of technical solutions to meet these needs and translate product visions into actionable designs.
  • Planning & Execution: Spearhead planning initiatives for the team, developing and managing development plans while adeptly navigating flexible deadlines and changing business priorities.
  • Process Optimization: Continuously assess, fine-tune, and enhance the development execution process to maximize team efficiency and ensure high-quality output.
  • Service Maintenance & SRE: Ensure service maintenance aligns with SRE processes, taking charge of the reliability, stability, and incident management of tools within the DWH.
  • IT Support Collaboration: Oversee IT support workflows and work closely with the IT Support Automation Engineer to enhance and automate support processes.
  • Architecture & Development: Supervise the architecture, design, and implementation of data tools (Superset, Jupyter Hub, DataHub) and drive the development of custom solutions to address new business requirements.
  • Stakeholder Communication: Facilitate communication with data engineers, analysts, and other stakeholders to ensure smooth data integration and tool usability.

About Platacard

Platacard is a forward-thinking company dedicated to innovating financial solutions and enhancing the data landscape. We pride ourselves on our dynamic work culture and commitment to professional growth.

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