Python/Airflow developer

Luxoft; United Kingdom; Remote; GBP 70,000 - 90,000; Full time

Job summary

A leading technology consultancy in the United Kingdom is seeking an experienced developer for enterprise-level applications. The role involves collaboration with multidisciplinary teams to enhance backend and frontend solutions, requiring substantial expertise in Python and data engineering. Candidates should have substantial experience with Docker, Kubernetes, and SQL, as well as familiarity with coding practices and data processing.

Qualifications

• 7+ years of overall IT experience.
• 3+ years of working in Python-related projects.
• Experience with multi-container applications.

Responsibilities

• Development and maintenance of an enterprise-level application.
• Collaborate with multidisciplinary teams to create innovative solutions.

Skills

Python proficiency

Data processing with Python

Airflow proficiency

Experience with docker containers

SQL experience

Familiarity with linting

Pydantic library familiarity

Tools

Pandas

Polars

Kubernetes

Docker

PostgreSQL

Job description

Project description

Project is a web application running and visualizing scientific experiments and mathematical models. It focuses on allowing users to visualize different graphical plots - hence Plotly is in the center of work.

Responsibilities

• Development and maintenance of an enterprise level applications for a leading food corporation.The role will involve developing and maintaining applications on the backend and frontend side and working collaboratively with multidisciplinary teams to create innovative solutions.

SKILLS

Must have

• 7+ years of overall IT experienceo Python experience:
• Python proficiency, 3+ years of working in Python-related projects
• Data processing with Python, usage of Pandas, Polars, virtual environmentso Airflow proficiency
• At least 1 project where Apache Airflow was actively used
• Knowledge how to setup Airflow cluster on Kubernetes/OpenShifto Containerized solutions:
• Experience with docker containers, development of multi-container applications
• k8s/OpenShift experienceo Data engineering:
• SQL experience, familiarity with parquet fileso Coding practices:
• Familiarity with linting, unit-testing, static code analysis, documentation generation

Nice to have

Pydantic library familiarity for meta-information. SKLearn and general ML/DataSci packages.Working with MaterialUI, Zustand state store, TailwindCSSAzure-certified developer. Azure networking familiarity. Azure Entra familiarity. K8s experience.Snowpark certification, experience with PostgresSQL administration on Azure.dbt experience