721 python English-speaking jobs in Lisbon District

Knowledge of data analytics & modelling (Python, R is a plus).

Orchestration tools (Airflow, Step Functions, Prefect) Infrastructure as Code (CloudFormation, Terraform) SQL Python

Experience with databases: MySQL, PostgreSQL, MongoDB, Redis Scripting skills (Bash, Python or similar

secure authentication (SSL, scram-sha-256) and security policies;Task automation (bash, PowerShell, Python ... pg_restore, vacuum, SSL, scram-sha-256, pgAdmin);Experience in automation with bash, cron, PowerShell, or Python

extend what you build.ResponsibilitiesArchitect and build agentic workflows using n8n, Claude API, Python ... deployment → optimization without relying on external consultant.Proficiency with AI tooling stack: n8n, Python

PowerTalent seeks a Mid Data Scientist with 3+ years of experience building and deploying production-level models. Requires a degree in a related field, strong Python skills (NumPy, pandas, scikit-learn), and experience with EDA, feature engineering, and supervised/unsupervised ML models.

DevOps Engineer needed with +5 years of experience, Bachelor's Degree in Computer Engineering or related field, and strong Java/Python skills. Experience with CI/CD tools (Docker, Jenkins, Terraform, Github), cloud architectures (AWS preferred), and Agile Methodologies required. Fluency in English is essential.

testing tools (e.g., JMeter, LoadRunner) Knowledge on Programming languages and scripting (e.g., Java, Python ... performance testing methodologies and tools Familiarity with programming languages and scripting (e.g., Java, Python

with Databricks—designing and implementing data flows, handling complex data transformationsPractical Python

Good programming skills in C++, Python and VBA.

Senior Data Engineer to design, develop, and optimize data pipelines and models. Experience with cloud data platforms (Snowflake, Azure DW, or Redshift), SQL, Python or Java, and AWS services required. 5+ years of data engineering or data warehousing experience.

developing talent, and delivering results.5+ years of hands‐on software engineering.Technical skillsStrong Python ... improvement.Benefits & CultureDirect RecruitmentTech stack: Azure/AKS, Terraform, Kafka, Elasticsearch, Qdrant, Python

related field, or equivalent experience.At least two years of experience developing solutions with Python ... technologies to improve the platform.Required Education, Experience, and Skills Required SkillsExperience with Python

(3+ private DCs, OpenNebula, K8s, Bare Metal, AWS, GCP, Azure, DO)IaC & CI/CD: Terraform, Ansible, Python ... mindset (SRE/DevOps): experience writing complex Terraform modules and Ansible roles; proficiency in Python

software project — version-controlled, tested, and reviewable Develop internal tools and automation in Python ... Practical experience with at least some of: Ansible, Docker, Git, CI/CD tools Programming skills in Python ... culture where ownership and initiative are encouraged Modern tech stack: Proxmox, AWS, Ansible, Docker, Python

and automate these run phases Mount, execute and automate ETL processes for extracting data (with python ... the performance of our in-house models        💡 WHAT WE'RE LOOKING FOR Strong skills in Python ... for our engines and ensure code optimization (RAM, cores, any IT resource) to have light engines Run python-based

Knowledge of Power BI for reporting and dashboards Experience with automation scripting (Python ... Promote secure coding practices and AppSec awareness Contribute to automation initiatives (Python ... Fortify, Nexus IQ, SonarQube, DevSecOps, SSDLC, CVE, Risk Assessment, ISO27001, NIST, Jira, ServiceNow, Python

Data Engineer with 4+ years of experience in cloud platforms (AWS, Azure, or Google Cloud), SQL, data modeling, Python, and data pipeline orchestration tools. Experience with ETL/ELT, data lakes, data warehouses, and Git/CI/CD workflows. Fluent English required.

We are using Google BigQueryAnalytical Python stack.Familiarity with ETL instruments such as Airflow

Senior Data Engineer to design, build, and maintain scalable data platforms. Will develop data processing pipelines, build microservices, and ensure data accuracy and security. Requires 5+ years of experience, strong Python skills, and expertise in Spark/PySpark and big data frameworks.