Software Architect and Data Manager

GMV

Boecillo, Spain

2 days ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Working hours

Shift work

Languages

English

Job location

Remote

Boecillo, Spain

Tech stack

Agile Methodologies

Airflow

Amazon Web Services (AWS)

Data analysis

Azure

Big Data

Continuous Integration

Data Governance

Data Integration

DevOps

Hadoop

Hadoop Distributed File System

Python

Machine Learning

NoSQL

NumPy

Object-Oriented Software Development

Scrum

Software Architecture

Power BI

SQL Databases

Tableau

Google Cloud Platform

Spark

Pandas

Kubernetes

Luigi

Data Management

Docker

Microservices

Job description

Define and execute the strategic data roadmap, aligning the architecture with business objectives.
Lead a team of data and analytics engineers, fostering their professional development.
Act as Scrum Master, prioritising short-term deliverables without losing sight of the strategic vision.
Design and implement modern architectures based on microservices and containers, using technologies such as Docker and Kubernetes.
Promote and oversee best practices in data governance, security, modelling and technical documentation.
Oversee the development lifecycle, from design to implementation, with a focus on quality and efficiency.

Requirements

Do you have experience in Tableau?, If you have a creative mind, exceptional skills in software architecture and data management, and you are ready to take on new challenges, we want to meet you!, * Architectural design and construction of complex systems.

Technology platforms towards advanced capabilities, including data integration.
Expertise in data integration: o Experience with scalable data architectures and modern integration tools (Apache Airflow, Prefect, Luigi).
Object-oriented programming.
Data analysis and visualisation tools (Tableau, Power BI).
Python ecosystem (Pandas, NumPy, ML frameworks).
Design and implementation of cloud-oriented architectures (AWS, Azure, GCP).
Knowledge of Big Data frameworks (Apache Spark, Hadoop, HDFS) and storage (S3, SQL/NoSQL databases).
Containers and deployment: Docker, Kubernetes.

Knowledge in DevOps and CI/CD practices for the deployment and maintenance of platforms, previous experience in projects related to public transport or ITS, familiarity with agile methodologies and relevant technical certifications in cloud (AWS Certified Solutions Architect, Google Cloud Professional Data Engineer) will be an asset.