Analytics Engineer

Frekuent is a fast-growing startup redefining the world of payments, helping businesses turn one-time buyers into lifetime clients through unique and rewarding experiences. We believe that the key to more sales is giving customers more. That's why we create painless, cashless, and contactless payment solutions that transform the way businesses operate. With Frekuent, transactions happen in seconds, keeping customers coming back time and again.

What You’ll Do

• Help define and implement our data warehouse and data modeling layer.
• Build, test, and maintain robust and scalable ELT pipelines from internal and external data sources.
• Collaborate with Product, Engineering, and Business stakeholders to understand data needs and translate them into well-structured datasets and dashboards.
• Design and build clear, insightful data visualizations and dashboards that empower teams to make data-informed decisions.
• Set up monitoring, documentation, and quality checks to ensure data reliability and observability.
• Contribute to the data culture, helping to establish best practices for analytics engineering and data operations.
• Support the adoption of modern data stack tools (e.g., dbt, Airbyte/Fivetran, Snowflake/BigQuery, Looker/Metabase).

What We’re Looking For

• 3–4 years of hands-on experience in a data-related role (e.g., Analytics Engineer, Data Engineer, BI Engineer).
• Proficiency in SQL and Python and experience building and maintaining data models using tools like dbt.
• Experience with cloud data warehouses (e.g., BigQuery, Snowflake, Azure Synapse Analytics).
• Familiarity with ELT tools such as Airflow, Fivetran, or Stitch.
• Solid understanding of data visualization best practices and experience with tools like Looker, Power BI, or Tableau.
• Comfortable working in a fast-moving startup environment — proactive, hands-on, and ready to take ownership.
• Proficiency in English. Spanish is a big plus.
• Bonus: Exposure to software engineering practices such as version control, automated testing, and CI/CD workflows.

We’d Love to Meet You If:

• You're genuinely passionate about data, analytics, and using them to drive real-world decisions and push the business forward.
• You want to make an impact and grow with a company that’s scaling fast.
• You’re energized by building from zero and shaping new systems and processes turning messy data into clean, usable insights.
• You’re comfortable balancing speed and quality in a fast-moving environment.
• You are creative, proactive, and looking for professional growth.
• You can independently manage priorities and work autonomously.

Super cool offices next to Sants Station with tons of perks (3 days at the office, 2 remote). Meal vouchers and insurance package to support your well-being (health insurance, Gympass, etc). Learning and development budget. 23 days of annual leave. Positive and collaborative mindset. Dynamic environment with huge growth potential.