Builtrix Open Positions

Highlights

• Location: Remote 

• Position: Cloud Data Engineer.

• Experience Level: Minimum 3 years of professional experience.

• Evaluation method: 3 stages of interview including 1 technical, 1 challenge assignment, and 1 team culture interview. This process will take between 2 to 3 weeks from the first interview to communication of the results.

• Salary level: The salary level depends on the experience and skillset.

• Start date: As soon as possible.

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About Builtrix

At Builtrix, we are transforming the way utility data is collected, understood, and utilized. Our mission is to empower energy experts, ESG consultants, and facility managers with meaningful and standardized energy insights. Our culture is to build our small team of amazing people who can demonstrate outstanding performances while learning and growing their skills exponentially every year.

Join us in shaping a greener and cleaner future through cutting-edge technology and innovation.

Job Overview

We are looking for a passionate and skilled Data Engineer (AWS specialist) to join our product team. As Builtrix is growing its customer base in Portugal and Europe, this role is important in ensuring seamless integration of data from multiple sources, processing it efficiently, and enabling meaningful insights.

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Key Responsibilities

1. Cloud Integration:

   • Design and implement data integration pipelines from diverse sources, including cloud platforms, legacy building management systems (BMS/EMS), and IoT systems. The pipeline may include some unstructured processes such as scrapping and/or reading data from uploaded CSV/PDF files.

   • Ensure robust and secure data exchange mechanisms at both data exchange and control/automation levels.

2. ETL Processes:

   • Build and maintain efficient ETL workflows to process, clean, and transform data for analytics and operational use.

   • Handle both batch and real-time data processing requirements effectively.

3. Cloud Infrastructure Management:

   • Leverage AWS services such as Transfer Family, API Gateway, Lambda, Athena, S3, EC2, RDS and others to develop scalable solutions.

   • Ensure systems are optimized for performance, security, and cost-efficiency.

4. Data Analytics:

   • Collaborate with the product team to support analytics and machine learning initiatives.

   • Enable API-based data access for customers using RESTful API frameworks.

5. Data Security:

   • Ensure best practices in data security and compliance with industry standards

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Requirements

1. Experience:

   • A minimum of 3 years of professional experience in data engineering or a related field such as backend development.

   • At least 1 year of hands-on experience with AWS cloud services.

2. Technical Skills:

   • Proficiency in working with cloud-based infrastructures, particularly AWS.

   • Strong knowledge of data integration tools and protocols.

   • Strong knowledge of databases.

   • Strong knowledge of coding in Python.

   • Strong knowledge of data and cloud infrastructure security.

   • Experience in designing ETL pipelines for batch and real-time processing.

3. Soft Skills:

   • Passion for data analytics and sustainability.

   • Strong problem-solving skills and the ability to work in a collaborative environment.

   • Excellent problem-solving and troubleshooting skills

   • Team working, Entrepreneurial spirit and can-do attitude

   • Fluent English language 

4. Other:

   • Comprehensive understanding of data security principles.

   • Excellent written and verbal communication skills in English.

   • Fluency in reading and writing in Portuguese is a plus

   • Knowledge in the field of energy is a plus.

   • Knowledge in the field of ontologies and system interoperability is a plus.

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Your day to day activities look like:

1. meetings with the product team and contributing in planning the next sprints.

2. considering the data integration requirements based on the API / Server / Data lake / Database requirements and documentations

3. developing new features on the ETL process and data pipeline

4. testing the ETL performance and reporting the key metrics to product leader for the next upgrades

5. monitoring the data pipeline behaviour and building automated reports on missing data and blocked connectors

6. reviewing the process costs and exploring cost reduction opportunities

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Success in this position will be measured by:

• How fast the data integration developments are made.

• How efficiently the data pipeline including the connectors, processors, and storage system operate to:

  • make sure continuous high quality data ingestion and export

  • reduce the cost of cloud infrastructure (e.g., AWS).

If you are someone who thrives on working with complex data ecosystems and is excited by the challenge of improving energy efficiency and sustainability, we want you on our team!

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What We Offer

• A dynamic and innovative work environment.

• Opportunity to contribute to sustainable energy solutions.

• Competitive compensation and benefits.

• Flexible hybrid working options.

• Professional growth and learning opportunities.

• Annual budget to spend on professional growth.

• Participating in international technological events and exhibitions

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Please submit your CV in English.

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