Analytics Engineer

This is a remote position.

We are seeking a top candidate to join our team as Analytics Engineer.

Compensation:
USD 2.3K - 2.64K/month.
Location:
Remote (anywhere).

Mission of Softgic:
In Softgic S.A.S. we work for the digital and cognitive transformation of our clients, aware that quality is an essential factor for us, we incorporate the following principles into our policy:

• Deliver quality products and services.
  
• Achieve the satisfaction of our internal and external clients.
  
• Encourage in our team the importance of training to grow professionally and personally through development plans.
  
• Comply with the applicable legal and regulatory requirements.
  
• Promote continuous improvement of the quality management system.
  

What makes you a strong candidate:

• You have 2+ years of experience in analytics engineering, and data modeling
  
• You are proficient in Data warehousing, gestión de pipelines ELT, PostgreSQL, and software testing.
  
• English - Native or fully fluent.
  

Responsibilities and more:
Location: Remote
Shift: Full-time
Education: Bachelor's degree in Computer Science, Engineering, or related field
English Level: C1-C2
Schedule: UK time, the candidate must be willing to work in that time zone.

Job Description:
As an Analytics Engineer, you will develop and maintain data models that enhance analyst productivity, empower machine learning models, and support self-service data discovery throughout the company.

Responsibilities:

• Design, create, and maintain data models in our Redshift data warehouse.
  
• Manage ELT pipelines feeding reporting systems and analytical teams.
  
• Apply software engineering best practices (e.g., testing, version control) to our data environment.
  
• Collaborate with business and engineering teams to build a scalable, reliable, and robust data platform architecture.
  
• Ensure that application designs support reporting and analytics requirements.
  
• Support product analysts with automation, tooling, data pipelines, and data engineering expertise.
  

Requirements

• 2+ years of experience in an Analytics Engineering or similar role.
  
• Experience modeling data to boost productivity using dbt or similar tools.
  
• Advanced SQL skills (PostgreSQL preferred) with schema design experience.
  
• Familiarity with data warehousing solutions (Snowflake, Redshift, or similar).
  
• Experience evaluating new tools and processes to improve data usability.
  
• Python scripting experience is a plus.
  

Benefits

• We're certified as a Great Place to Work.
  
• Opportunities for advancement and growth.
  
• Paid time off.
  
• Formal education and certifications support.
  
• Benefits with partner companies.
  
• Referral program.
  
• Flexible working hours.