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Role
Collaborate with engineers on data topics to develop, maintain, and improve products – ensure a seamless data flow, streamline data collection processes, analyze data quality, visualize data, maintain and automate data workflows, design data processing, and develop collection processes using data pipelines.
Responsibilities: Encompasses all activities related to data, including deployment, release management, security, and privacy.
Improvement and Innovation: Enhance the product by driving innovation and implementing automation.
Planning and Documentation: Plan, track, and document work primarily using Jira, GitHub, and Confluence.
Adhere to Guidelines: Work in compliance with data and technology guidelines, best practices, and architectural recommendations.
Create and Maintain KPIs: Develop and maintain new KPIs in Looker Studio or Power BI.
Machine Learning and LLMs: Create and refine machine learning models and perform ML-related tasks such as wait-time estimation.
Essential Requirements
Comprehensive understanding of Google Cloud Platform & data visualization tools
Utilization: 100%
Location: Malmö
Period: 01-02-2025-31-08-2025
Last day to apply: 24-01-2025
We present regularly. This means that we sometimes remove the assignements from our website before the final application deadline. If you are interested in an assignement, we recommend that you submit your application as soon as possible.
Collaborate with engineers on data topics to develop, maintain, and improve products – ensure a seamless data flow, streamline data collection processes, analyze data quality, visualize data, maintain and automate data workflows, design data processing, and develop collection processes using data pipelines.
Responsibilities: Encompasses all activities related to data, including deployment, release management, security, and privacy.
Improvement and Innovation: Enhance the product by driving innovation and implementing automation.
Planning and Documentation: Plan, track, and document work primarily using Jira, GitHub, and Confluence.
Adhere to Guidelines: Work in compliance with data and technology guidelines, best practices, and architectural recommendations.
Create and Maintain KPIs: Develop and maintain new KPIs in Looker Studio or Power BI.
Machine Learning and LLMs: Create and refine machine learning models and perform ML-related tasks such as wait-time estimation.
Essential Requirements
Comprehensive understanding of Google Cloud Platform & data visualization tools
- GCP stack: Big query, cloud storage, cloud functions, cloud scheduler, dataflow, data form, etc
- Visualization tools: Power BI & Looker Studio
- Languages: Python Pandas, Jupyter Notebooks, Matplotlib, Scikit-learn, Numpy, TensorFlow
- Database systems: Relational databases e.g., MySQL, PostgreSQL and NoSQL databases e.g., Firestore.
- Machine Learning: Create and maintain a ML model and LLM's
- Data analysis & critical thinking skills to identify, analyze and use data for business requirements
- Good understanding of Data Quality analysis
Utilization: 100%
Location: Malmö
Period: 01-02-2025-31-08-2025
Last day to apply: 24-01-2025
We present regularly. This means that we sometimes remove the assignements from our website before the final application deadline. If you are interested in an assignement, we recommend that you submit your application as soon as possible.
Key Skills
Ranked by relevance
cloud
machine learning
looker
google cloud platform
data visualization
data analysis
postgresql
matplotlib
power bi
storage
python
pandas
nosql
mysql
numpy
jira
gcp
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- Posted
- Jan 21, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Malmo
- Company
- Deploja
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
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Senior iOS Engineer
2026-05-26
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Sweden
IT Services
Engineering
View Job Details
Related
Senior Android Engineer
2026-05-26
Full-time
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Engineering
View Job Details
Related
Embedded Software Developer
2026-05-23
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Not Applicable
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Engineering