Scalable Data Engineer

2 days ago

Karachi, Sindh, Pakistan beBeeData Full time 15,000,000 - 20,000,000

We are seeking a highly skilled professional to lead our data engineering efforts.

The ideal candidate will have 3-4 years of experience in building scalable data infrastructure and pipelines.

  • Key Responsibilities:
  • Design, build, and maintain reliable and scalable data pipelines to support analytics, operations, and product needs.
  • Architect and implement robust ETL/ELT processes and manage data warehouse solutions.
  • Take ownership of the data function providing technical leadership, mentoring, and setting high standards.
  • Collaborate with cross-functional teams (Product, Engineering, Analytics) to deliver data-driven solutions.
  • Monitor data pipeline health, automate error detection, and ensure data integrity.
  • Drive the adoption of best practices in data modeling, testing, and deployment.
  • Stay ahead of industry trends and proactively improve our data ecosystem.
  • Lead sprint planning, code reviews, and technical discussions within the team.
  • Build internal tools, APIs, and applications that support research workflows, strategy development, and operational monitoring.

Required Skills And Qualifications:

  • 3-4 years of hands-on experience in Data Engineering or related roles.
  • Expertise in Python for data processing, scripting, and automation.
  • Strong knowledge of SQL and experience with both relational and NoSQL databases.
  • Experience with data orchestration tools (e.g., Airflow, Luigi, or Dagster).
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop, etc.).
  • Strong software engineering fundamentals: version control, testing, documentation, containerization (Docker), and CI/CD.
  • Proven leadership capabilities - can lead a team, own deliverables, and make critical decisions.
  • Strong problem-solving mindset and the ability to work independently under pressure.
  • Demonstrated experience in optimizing performance and scalability of data systems.

Bonus Skills:

  • Familiarity with backtesting frameworks (e.g., Zipline, Backtrader, custom engines).
  • Exposure to machine learning workflows, data labeling, and feature engineering in production settings.
  • Previous experience in systematic trading, quant research support, or building tools for alpha signal discovery.

Culture Fit: We value individuals who lead from the front, take full accountability for outcomes, are self-starters, possess a 'fight instinct', are collaborative leaders, thrive in fast-paced environments, and commit to continuous growth.

Employment Type: Full-time

Job Function: Engineering and Information Technology

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