YBC889 | Software Engineer GCP, Madrid

Software Engineer GCP

Job Title : Software Engineer

Location : Malmo, Sweden

Duration : 6-12 month contract

Experience : 4-7 Years

Working Mode : Hybrid

Location : Open Malm, Madrid or Offshore

Background :

This role is part of the digital Instore Analytics capability area of PCMP Co-Worker Operational Tools within the Omni Meeting Points area. Here, we develop data-driven in-house solutions built on GCP.

Role :

We are seeking a data analyst with a data engineering background. The consultant will collaborate with in-house teams of software engineers for data engineering and data analysis tasks.

Reporting :

Will report to the Engineering Manager responsible for this area.

Timing :

Work in CET time zone from 8 AM to 5 PM, with occasional flexibility.

Candidates with recent data background will get preference.

The scope of the consultant services is to assist CLIENTS in collaborating with engineers for data topics to develop, maintain and improve products - ensuring the flow of data, streamlining the processes for data collection, data quality analysis, data visualization, maintain and automate data workloads, design data processing, and developing data collection processes with data pipelines.

Ownership encompasses all activities related to data, including deployment, release management, security, and privacy.

Enhance the product by driving innovation and implementing automation.

Plan, track, and document work primarily using Jira, GitHub, and Confluence.

Adhere to data tech guidelines, best practices, and architectural recommendations.

Create and maintain new KPIs in Looker Studio or Power BI.

Create and refine machine learning models and LLMs including the creation of ML models and ML-related tasks like waiting time estimation.

Desired knowledge, experience, competence, skills :

• Comprehensive understanding of Google Cloud Platform data visualization tools.
• GCP stack : BigQuery, Cloud Storage, Cloud Functions, Cloud Scheduler, Dataflow, Dataform, 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 ML models and LLMs.
• Data analysis critical thinking skills to identify, analyze, and use data for business requirements.
• Good understanding of Data Quality analysis.

What 3 things from the box above are most important?

GCP, Python, Pandas #J-18808-Ljbffr