An opportunity exists for an experienced Python Engineer to lead the design, development, and support of Python-based analytics applications, dashboards, and data products that drive business decision-making.
This role sits at the intersection of software engineering, data analytics, and stakeholder engagement, with a strong focus on building scalable applications, visualisation platforms, and analytical solutions for both technical and non-technical users.
Key Responsibilities
- Design, develop, and maintain Python-based applications, dashboards, and analytical tools.
- Build interactive visualisation solutions using technologies such as Dash, Streamlit, Power BI, or equivalent platforms.
- Develop scalable data pipelines and integrate data from multiple internal and external sources.
- Work closely with business stakeholders to translate complex requirements into intuitive analytical products.
- Establish best-practice software engineering standards including code quality, testing, documentation, and governance.
- Support cloud-based deployment and ongoing enhancement of analytics applications.
- Mentor team members and promote adoption of modern development practices across the organisation.
- Partner with data, technology, and business teams to deliver high-value analytical solutions.
Skills & Experience
- Strong commercial experience developing applications and analytical solutions using Python.
- Advanced knowledge of Python libraries including Pandas, NumPy, Plotly, Dash, Streamlit, and related frameworks.
- Experience building dashboards, reporting platforms, and data visualisation solutions.
- Strong understanding of software engineering principles, application architecture, and development best practices.
- Experience working with cloud platforms such as Azure and modern CI/CD practices.
- Familiarity with SQL, data warehousing, and large-scale data environments.
- Strong stakeholder engagement and communication skills with the ability to work across technical and non-technical teams.
- Experience mentoring developers and contributing to technical standards and governance.
- Experience within financial services, investments, quantitative analytics, or asset management environments.
- Exposure to Snowflake, Microsoft Fabric, Databricks, or PySpark.
- Experience deploying containerised applications using Docker and Kubernetes.
- Knowledge of investment analytics, portfolio reporting, performance measurement, or risk analytics.
#J-18808-Ljbffr
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
Similar jobs
Show more