Data & Analytics Engineer: Python, Power BI, Time‑Series

Ubique Systems; Stockholms kommun; On-site; SEK 700,000 - 1,000,000; Full time

Job summary

Ubique Systems is seeking a Data Engineer / Analytics Engineer to join the Impact Forecasting team, supporting electricity-grid power forecasting for local and regional networks.

The role emphasizes automating forecasting processes with Python and Databricks, building robust data models, and delivering insightful Power BI dashboards for stakeholders. You will work with time-series data across multiple sources in an Agile/Scrum setting.

Qualifications

• 7+ years in data analysis, data engineering, or analytics.
• Strong Python, data manipulation, and data modeling.
• Experience with large datasets and time-series data.
• Hands-on Power BI and data visualization.

Responsibilities

• Automate forecasting processes using Python and Databricks.
• Analyze customer and time-series data to improve forecasting methodologies.
• Develop and enhance Power BI dashboards, reports, and data models.
• Prepare and update power forecasts using data from multiple sources.
• Perform data collection, transformation, validation, and quality assurance.
• Generate quantitative and qualitative insights and communicate findings to business stakeholders.
• Collaborate with cross-functional teams in an Agile/Scrum environment.

Skills

Data analysis

Data engineering

Analytics

Time-series data

Stakeholder management

Communication

Problem solving

Tools

Python

Databricks

Power BI

Job description

Ubique Systems is seeking a Data Engineer / Analytics Engineer to join the Impact Forecasting team, supporting electricity-grid power forecasting for local and regional networks.

The role emphasizes automating forecasting processes with Python and Databricks, building robust data models, and delivering insightful Power BI dashboards for stakeholders. You will work with time-series data across multiple sources in an Agile/Scrum setting.