Data Engineer

Key Responsibilities

AI & Machine Learning

• Develop and implement end-to-end projects powered by advanced AI tools to solve and automate key business problems and processes.
• Develop and deploy traditional machine learning models (Classification/Regression).
• Foster an AI-driven culture within Holaluz by researching and disseminating AI knowledge across the company.
• Stay up to date with emerging technologies and assess their suitability for Holaluz.

• Populate the Data Warehouse with datasets using Python and SQL to create robust data pipelines.
• Optimize and evolve the data warehousing infrastructure to ensure cost-effectiveness and scalability.
• Maintain the smooth and efficient operation of Data Analytics systems.

• Answer business questions using a wide range of data techniques.
• Develop concise one-page documents with actionable insights and business recommendations.
• Conduct in-depth analyses to solve key business problems.
• Translate complex data into clear and concise presentations for senior management and stakeholders, effectively communicating key findings and recommendations.
• Create compelling visualizations to effectively communicate key metrics to stakeholders.

Education & Experience

• A Bachelor’s degree in Mathematics, Engineering, Telecommunications, or a related field
• 3–5 years of experience working as a Data Analyst, Data Scientist or Data Engineer.

• Technical Proficiency: Expertise in SQL and Python for data manipulation, analysis, and automation.
• Analytical & Strategic Thinking: Proven ability to dissect complex problems and deliver strategic solutions.
• Communication & Storytelling: Strong ability to distill intricate technical concepts into clear, actionable business insights.
• Proactive Mindset: A detail-oriented, solution-focused professional with high standards for data accuracy.
• Collaboration: Dependable team player who thrives both independently and in collaborative environments.
• A positive, energetic attitude that aligns with our SHAKE culture:
• Say things as they are
• Have fun
• Always people first
• Keep rowing together
• Es posible
  

• Workflow Orchestration: Hands-on experience with orchestration tools like Apache Airflow.
• Data Visualization: Hands-on experience building reports and dashboards in tools such as Power BI, Tableau, or QlikView.
• Version Control: Strong understanding of version control best practices using Git.
• Cloud Platforms: Previous experience working within cloud environments, specifically AWS, is highly appreciated.

This role is more than just a job, it's an opportunity to drive meaningful impact within a fast-paced, forward-thinking organization. If you consider yourself an optimistic person, dedicated and excited to grow within a culture of transparency, collaboration, and possibility, we'd love to hear from you.