YBC889 | Software Engineer GCP, Madrid

Axiom Software Solutions; Madrid; Híbrido; EUR 45.000 - 80.000; Jornada completa

Descripción de la vacante

An innovative firm is seeking a skilled Software Engineer with a strong background in data engineering and analytics. This role involves collaborating with talented software engineers to develop data-driven solutions on the Google Cloud Platform. You will be responsible for enhancing products through automation, ensuring data quality, and visualizing insights using tools like Power BI and Looker Studio. If you are passionate about leveraging data to drive innovation and improve processes, this opportunity offers a dynamic work environment where your contributions will make a significant impact.

Formación

• 4-7 years of experience in data engineering and analysis.
• Proficient in GCP stack and data visualization tools.

Responsabilidades

• Collaborate with software engineers for data engineering tasks.
• Develop, maintain, and improve data products and processes.

Conocimientos

Data Analysis

Python

Machine Learning

Data Visualization

Data Quality Analysis

Critical Thinking

Herramientas

Google Cloud Platform

Power BI

Looker Studio

Jira

GitHub

Confluence

Descripción del empleo

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:

1. Comprehensive understanding of Google Cloud Platform data visualization tools.
2. GCP stack: BigQuery, Cloud Storage, Cloud Functions, Cloud Scheduler, Dataflow, Dataform, etc.
3. Visualization tools: Power BI, Looker Studio.
4. Languages: Python, Pandas, Jupyter Notebooks, Matplotlib, Scikit-learn, Numpy, TensorFlow.
5. Database systems: Relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., Firestore).
6. Machine Learning: Create and maintain ML models and LLMs.
7. Data analysis critical thinking skills to identify, analyze, and use data for business requirements.
8. Good understanding of Data Quality analysis.

What 3 things from the box above are most important?

1. Ability to work with data end to end from extraction, transformation, to load, and visualization.
2. The ability to work with different types of datasets from various sources and own the tasks for data within a product.
3. Proficient in GCP components for data visualization.

GCP, Python, Pandas