Technical Lead Python Engineer with Expertise in Data

1 Month ago • 5 Years + • DevOps

Job Summary

Job Description

Technical Lead Python Engineer needed to further develop an internal Data Platform for a global investment advisor organization. Responsibilities include Python development (min 5 years experience), data ingestion and modeling using tools like Airflow, advanced SQL proficiency (PostgreSQL, MySQL, MSSQL), experience with Terraform or similar for infrastructure management, and at least 3 years of cloud experience (Azure preferred). The role requires designing robust and scalable data pipelines for large-scale applications and familiarity with Git workflows and CI/CD practices. Strong communication skills are essential for interacting with both technical and non-technical stakeholders. An advanced degree in a related field is required.
Must have:
  • 5+ years Python development experience
  • Data ingestion & modeling experience
  • Advanced SQL proficiency (PostgreSQL, MySQL, MSSQL)
  • Terraform or equivalent experience
  • 3+ years Cloud experience (Azure preferred)
  • Advanced degree in related field
Good to have:
  • Data Pipeline Design
  • Git, CI/CD
  • Communication Skills
  • PySpark, DBT, SQLMesh
  • PostgreSQL, MySQL, MSSQL, Terraform
  • Azure DevOps, JIRA, Confluence
Perks:
  • Flexible working format
  • Competitive salary
  • Personalized career growth
  • Professional development tools
  • Education reimbursement
  • Corporate events

Job Details

Our Client is a global investment advisor organization that utilizes advanced technologies and data analytics to improve the operational performance of their portfolio companies. Key objectives include delivering strong financial returns, offering diverse investment opportunities, enhancing portfolio company operations, and proactively managing risks. They have invested in proprietary technology and data-driven strategies to extract additional value. Currently, they are expanding their data science team in London, seeking a Technical Lead Python Engineer with expertise in Data to further develop their internal Data Platform.

Required Skills and Qualifications:

Must have:

  • Python Development: minimum 5 years of professional experience in production environments, emphasising performance optimisation and code quality.
  • Ingestion and modelling: 
    • Experience with Python and orchestration tools like Airflow is beneficial.
  • SQL Proficiency: advanced knowledge of SQL:
    • At least one of PostgreSQL, MySQL, MSSQL
    • Ability to write complex queries and optimise database performance
    • Utilise DBT tools.
  • Infrastructure as Code: experience with Terraform or equivalent tools to facilitate code-controlled infrastructure management.
  • Cloud Experience: over 3 years of hands-on experience with cloud providers, specifically:
    • AWS or GCP is acceptable
    • Azure is highly preferred due to project-specific requirements.
  • English – Upper-Intermediate or Advanced.
  • Education: advanced degree (Master’s or Ph.D.) in Data Science, Statistics, Computer Science, Engineering, or a related field.

Nice to have:

  • Data Pipeline Design: Strong understanding of designing robust and scalable data pipelines for large-scale applications.
  • Version Control and CI/CD: Familiarity with Git-based workflows and continuous integration/deployment practices to ensure seamless code integration and deployment processes.
  • Communication Skills: Ability to articulate complex technical concepts to technical and non-technical stakeholders alike.
  • Experience with programming: Python, PySpark, DPT, SQLMesh (optional), PostgreSQL, MySQL, MSSQL, Terraform
  • Hands on experience with tools and technologies: Git, Azure DevOps, JIRA, Confluence

We offer*:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

*not applicable for freelancers

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