Python and Data Analytics Developer

Next Ventures; Lunds kommun; On-site; SEK 60,000 - 80,000; Full time

Job summary

Next Ventures is seeking an experienced data engineer in Lund, Sweden. You will be responsible for data manipulation and cleansing using Python, while also reporting and analyzing data with MS Power BI to provide business insights.

The ideal candidate has over 8 years of experience in data engineering, with strong skills in building data pipelines, REST APIs, and SQL Server. Proficiency in tools like Pandas and NumPy is also essential.

Qualifications

• 8+ years of experience in Python, data engineering, analytics, and web development.
• Built data pipelines using Python, REST APIs, and Shell scripting.
• Strong experience with JSON parsing and data transformation.
• Proficient in SQL Server with complex queries and tuning.

Responsibilities

• Understand existing data structure and manipulate data using Python.
• Create and maintain reports using MS Power BI.
• Analyze data to provide business value.

Skills

Python

Data Engineering

Analytics

Web Development

SQL Server

Power BI

REST APIs

Flask

Tools

MS Power BI

Pandas

NumPy

SQLAlchemy

Matplotlib

Job description

You are responsible for understanding the existing data structure and tables. Using Python, manipulate the data and cleanse it for ease of use. Read data from REST APIs using Python and create data pipelines, scheduling them to ingest the data into SQL Server tables.

You are also expected to create, report, and maintain existing reports using MS Power BI. Analyze the data based on use cases for bringing business value such as predictive and proactive service management.

Required Skills

• 8+ years of experience in Python, data engineering, analytics, and web development
• Built data pipelines using Python, REST APIs, and Shell scripting
• Automated data processing and reporting using Python
• Strong experience with JSON parsing and data transformation
• Expertise in enterprise data modeling and data warehousing concepts
• Proficient in SQL Server with complex queries and tuning
• Hands-on with Pandas, NumPy, SQLAlchemy, and Matplotlib
• Developed RESTful APIs and backend services using Flask
• Integrated Flask applications with SQL Server and PostgreSQL
• Implemented SSO in Python applications
• Experience with OAuth 2.0, OIDC, and SAML
• Configured Azure AD / Entra ID authentication
• Implemented JWT-based authentication and RBAC

Preferred Skills

• Developed interactive reports and dashboards using Power BI
• Managed Power BI datasets, workspaces, and apps
• Experience working in Agile/Scrum environments
• Knowledge of Infrastructure as Code (IaC)