VP Sales F / H

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 Data Engineer to further develop their internal Data Platform.

Required Skills and Qualifications :

Must have :

1. Python Development: minimum 5 years of professional experience in production environments, emphasizing performance optimization and code quality.
2. Ingestion and modelling: Experience with Python and orchestration tools like Airflow is beneficial.
3. SQL Proficiency: advanced knowledge of SQL, at least one of PostgreSQL, MySQL, MSSQL, with the ability to write complex queries and optimize database performance.
4. Infrastructure as Code: experience with Terraform or equivalent tools to facilitate code-controlled infrastructure management.
5. Cloud Experience: over 3 years of hands-on experience with cloud providers, specifically AWS or GCP (Azure is highly preferred due to project-specific requirements).
6. English – Upper-Intermediate or Advanced.
7. Ukrainian language Advanced or higher.
8. Education: advanced degree (Master’s or Ph.D.) in Data Science, Statistics, Computer Science, Engineering, or a related field.

Nice to have :

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

We offer :

1. Flexible working format - remote, office-based or flexible.
2. A competitive salary and good compensation package.
3. Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more).
4. Active tech communities with regular knowledge sharing.

Project : Worldwide leader in automotive safety systems