Senior Analytics Engineer

Portugal

Full Time

Experienced

Overview

As a Senior Analytics Engineer, you will be at the forefront of data innovation within Siemens’ Analytics Domain. You will design and develop scalable, secure, and cost-effective data products and pipelines that empower data-driven decisions across the organization. Your role will be crucial in shaping the data architecture and ensuring the continued excellence of our analytics ecosystem.

Main Tasks

Design, develop, and maintain efficient data models, ETL workflows, and pipelines.
Optimize data products for usability across cross-functional teams, enhancing BI and analytics.
Work with modern cloud-based data architectures, especially data lakehouse environments.
Ensure robust data quality, performance, security, and compliance from development to production.
Collaborate with data scientists, analysts, and business stakeholders to translate business requirements into data solutions.
Partner with the Data Hub team to align with technical standards and adopt cutting-edge technologies.
Utilize version control (GitHub/GitLab) and CI/CD pipelines to streamline data workflows.
Apply best practices in data engineering, transformation, and analytics.

Technical Skills Required

SQL (Senior Level): Strong skills in writing optimized queries and managing complex datasets.
Snowflake (Senior Level): Expertise in developing and managing data solutions within Snowflake.
dbt (data build tool) (Mid-Level): Solid understanding of data modeling using dbt.
Cloud Architecture (AWS preferred) (Junior Level): Experience in building and maintaining data solutions in the cloud.
Programming (Python or R) (Junior Level): Scripting for data analysis and automation tasks.
CI/CD & Version Control (Senior Level): Proficient in GitHub/GitLab and managing automated workflows.
Data Architecture (Mid-Level): Hands-on experience building scalable architectures for analytics.
Data Visualization (Entry Level): Familiarity with tools like Power BI or Tableau.
Orchestration Tools (Entry Level): Basic experience with Apache Airflow.
AI/ML Tools (Entry Level): Exposure to data science and predictive modeling techniques.

Soft Skills

Excellent Communication (Senior Level): Ability to clearly convey technical information to non-technical stakeholders in fluent English.
Team Collaboration: Experience working in cross-functional teams and Agile/Scrum environments.
Problem Solving: Proactive in identifying data issues and implementing effective solutions.
Adaptability: Comfortable working in a fast-paced, evolving technological landscape.
Detail-Oriented: Ensures data accuracy, quality, and security throughout development cycles.

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