Senior Python Engineer

Antematter


Date: 3 weeks ago
City: Rawalpindi
Contract type: Full time
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 engineering team—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. 
  • Design, build, and maintain robust and scalable data pipelines to ingest, normalize, and store large volumes of financial market and alternative data.


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.


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