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TGS

Data Engineer & Scientist

TGS
Norway · Full-time · Entry
TGS provides scientific data and intelligence to companies active in the energy sector. In addition to a global, extensive and diverse energy data library, TGS offers specialized services such as advanced processing and analytics alongside cloud-based data applications and solutions.

About The Job

As a data engineer and scientist, you get the best out of two worlds. Not only are you passionate about data engineering, but you also are passionate about crunching the data you engineer.

In this role, you will be a key member of the Analytics and Data Engineering Science (ADES) group. You will design and build data marts that will empower and accelerate our analytics offering. You possess expertise in architecting data lakes, designing and implementing necessary data pipelines, and establishing governance and quality processes to guarantee data availability, usability, and accuracy, while at the same time, understanding the requirements and science of data analytics.

Requirements

  • Conceptualize and own the build out of problem-solving data marts for consumption by data science and analytics teams, evaluating design and operational cost-benefit tradeoffs within systems
  • Design, develop, and maintain robust data pipelines and ETL processes using data platforms for Prediktor’s data warehouse
  • Create or contribute to frameworks that improve the efficacy of logging data, while working to improve the data engineering infrastructure
  • Validate data integrity throughout the collection process, performing data profiling to identify and comprehend data anomalies
  • Influence product and cross-functional (engineering, data science, marketing, strategy) teams to identify data opportunities to drive impact

Qualifications

  • Bachelor's degree in Computer Science, Mathematics, or related field, or equivalent practical experience
  • 3 years of experience coding with SQL or one or more programming languages (e.g., Python, R, C#) for data manipulation, analysis, and automation
  • Experience in data transformation, modeling and warehousing concepts and techniques, and database principles (e.g., SQL and NoSQL)
  • Experience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing
  • Experience with data processing software (e.g., Python, Hadoop, Spark, Pig, Hive, Kafka, Airflow) and algorithms (e.g., MapReduce, Flume, R, TensorFlow, PyTorch, Scikit-learn)
  • Experience with data visualization tools (e.g., Power BI, Looker, Bold BI, Grafana)

Key Skills

Ranked by relevance

python cloud sql data visualization data warehousing serverless tensorflow power bi storage pytorch looker hadoop kafka spark etl c
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Country Guide

Norway

Strong quality of life and high-income stability

Posted
Jul 02, 2025
Type
Full-time
Level
Entry
Location
Fredrikstad
Company
TGS

Industries

Data Infrastructure Analytics

Categories

Information Technology

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