Senior Python Engineer

Jobtailor; Lunds kommun; On-site; SEK 700,000 - 900,000; Full time

Job summary

Jobtailor is looking for a senior software engineer to design, build, and improve Python automation tooling and production-grade data solutions. You will work with Azure Databricks and modern data platforms, and own CI/CD pipelines using GitHub Actions and reusable workflows.

You will contribute to data engineering initiatives involving Spark, Hadoop, Kafka, and data quality validation, while collaborating across cross-functional teams and mentoring others. EU citizenship is required.

Qualifications

• Strong Python skills with automation, tooling, and production-oriented engineering.
• Experience with Azure, preferably Azure Databricks and modern data platforms.
• Practical experience with Apache Spark, Hadoop, Kafka, schema enforcement, data quality validation, or Power BI.
• Solid experience with GitHub Actions, GitHub Workflows, and reusable CI/CD workflow design.
• Strong Docker experience in day-to-day software engineering.
• Ability to work independently in a senior engineering role while collaborating effectively across cross-functional teams.
• EU citizenship.

Responsibilities

• Design, build, and improve automation and engineering tooling in Python.
• Work hands-on with Azure-based solutions, including modern data platform components.
• Develop, maintain, and refine CI/CD workflows using GitHub Actions, GitHub Workflows, and reusable workflow patterns.
• Support production-oriented software engineering with Docker as a natural part of daily development.
• Collaborate with cross-functional teams while driving technical work independently in a senior engineering role.

Job description

• Design, build, and improve automation and engineering tooling in Python.
• Work hands-on with Azure-based solutions, including modern data platform components.
• Develop, maintain, and refine CI/CD workflows using GitHub Actions, GitHub Workflows, and reusable workflow patterns.
• Support production-oriented software engineering with Docker as a natural part of daily development.
• Contribute to solutions involving technologies such as Apache Spark, Hadoop, Kafka, schema enforcement, data quality validation, and Power BI.
• Collaborate with cross-functional teams while driving technical work independently in a senior engineering role.

Requirements

• Strong Python skills with experience in automation, tooling, and production-oriented engineering.
• Hands-on experience with Microsoft Azure, preferably including Azure Databricks and modern data platforms.
• Practical experience with Apache Spark, Hadoop, Kafka, schema enforcement, data quality validation, or Power BI.
• Solid experience with GitHub Actions, GitHub Workflows, and reusable CI/CD workflow design.
• Strong Docker experience in day-to-day software engineering.
• Ability to work independently in a senior engineering role while collaborating effectively across cross-functional teams.
• EU citizenship.

Core Competencies

Demonstrates strong capabilities in Python automation and tooling, with hands-on experience in Azure-based solutions and CI/CD workflows. Proficient in using Docker and collaborating with cross-functional teams in a senior engineering capacity.

Highest-signal resume keywords

• Python Automation
• Microsoft Azure
• Apache Spark
• GitHub Actions
• Docker

ATS Optimization Keywords

Hard Skills

• Python
• Automation
• CI/CD Workflows
• Apache Spark
• Hadoop
• Kafka
• Schema Enforcement
• Data Quality Validation
• Power BI
• GitHub Workflows

Soft Skills

• Collaboration
• Independent Work

Certifications & Qualifications

• EU Citizenship

Industry Keywords

• Data Platform
• Production-Oriented Engineering

Tools & Technologies

• Azure Databricks
• Docker