Talantix.io
TSCNET Services GmbH•10.02.26
AI SCORE 8.2

Data Analyst/​Engineer - Power Systems (Remote)

$60K–$80K/year
RemoteUtilitiesRelocation
Python•SQL•OSIsoft PI•dbt•Airflow•PySpark

About the Role

We are seeking a Data Analyst/Engineer - Power Systems (Remote) to join our international team at TSCNET Services GmbH. This role is pivotal in securing the electricity supply for Europe, where you will support and deliver new data analyses in the OSIsoft PI system. As a Data Analyst/Engineer, you will have the opportunity to work with a diverse group of professionals from over 35 countries, contributing to innovative solutions for a secure energy supply.

What You'll Do

  • Support and deliver new data analyses in the OSIsoft PI system based on defined use cases for reports, dashboards, and visualizations.
  • Build and operate Python scripts and workflows for data ingestion from various sources.
  • Continuously document data management-related solutions and processes.
  • Realize new visualization dashboards and maintain existing ones.
  • Ensure data integrity and consistency by applying automated monitoring solutions.
  • Maintain and develop the OSIsoft PI system’s database structure.
  • Support and deliver new ETL/ELT pipelines within a modern data architecture.
  • Respond to ad-hoc analyses requests and reported issues.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or Applied Mathematics.
  • 2 years of experience or specific education in a Data Analyst or Data Engineering role.
  • Proficiency in programming languages such as Python and SQL.
  • Experience in modularizing Python scripts, including creating functions, modules, and packages.
  • Basic understanding of modern database concepts and knowledge of DBT, Airflow, and PySpark.
  • Knowledge of the OSIsoft PI system is an advantage.
  • Strong willingness to learn and good analytical and problem-solving skills.
  • Excellent verbal and written communication skills in English.

Nice to Have

  • Experience with handling and visualizing large datasets.
  • Basic knowledge of power systems and related data formats.

What We Offer

  • A competitive salary package with performance-based pay.
  • Financial and practical relocation assistance for employees from abroad.
  • Individual development and training plans with a dedicated budget.
  • A positive working environment with health prioritization, including a 24/7 hotline for enhanced mental health.
  • Plenty of staff events throughout the year.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.2 of 10

This role offers a unique opportunity to work in a diverse international team while contributing to the security of Europe's electricity supply. With competitive compensation and relocation support, it's an attractive position for aspiring data professionals.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficiency in Python and SQL for data manipulation and analysis, with hands-on experience in data pipelines and ETL processes using dbt and Airflow.

→

Strong analytical mindset with the ability to interpret data from the OSIsoft PI system, focusing on energy supply metrics and trends in a remote working environment.

→

Eagerness to learn and adapt to new technologies like PySpark for big data processing, demonstrating a growth mindset suitable for a junior role in a fast-paced tech industry.

Learning Resources

→Python for Data Science Handbookguide
→Introduction to SQL for Data Sciencecourse
→Getting Started with Airflowarticle

Career Path

Data Analyst/Engineer - Power Systems(Now)→Data Engineer or Business Intelligence Analyst(1-2 years)→Senior Data Engineer or Data Science Specialist(3-5 years)

Market Overview

Market Size 2024
$40B
Annual Growth
12.5%
AI Adoption in Data Engineering
60%
Investment in Data Analytics Tools
+35%
Labour Demand for Data Analysts/Engineers
+25%
Avg Salary for Junior Data Analysts
$70K

Skills & Requirements

Required
PythonSQLOSIsoft PI
Growing in Demand
Machine Learning with PythonData Visualization (Tableau, Power BI)Cloud Data Engineering (AWS, Azure)
Declining
Excel Data AnalysisTraditional ETL Tools (Informatica, Talend)

Domain Trends

Rise of DataOps
DataOps is becoming crucial for organizations, with 45% of companies adopting it to improve data quality and speed of delivery.
Increased Use of Real-Time Data Processing
The demand for real-time data analytics is growing, with 55% of organizations implementing streaming data solutions to enhance decision-making.
Integration of AI in Data Analytics
Over 70% of data teams are now integrating AI technologies to automate data preparation and analysis, significantly increasing productivity.

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