Data Engineer

Fit4Me is looking for a Data Engineer whose main goal will be to design, build, and maintain scalable data infrastructure that supports analytics, reporting, and business decision-making across the company.
This role is focused on developing reliable data pipelines, integrating multiple data sources, ensuring data quality, and delivering business-oriented data solutions aligned with product and company goals.

This role is a great fit if you:

• Work confidently with SQL (BigQuery), Python, dbt, Google Cloud Platform (GCF, GCS, Cloud Build, Cloud Scheduler, Pub/Sub, IAM), and Data Modeling.
• Enjoy working with data at the infrastructure level and want to build a strong foundation for analytics.
• Feel comfortable handling large-scale datasets, complex transformations, and multiple data sources at the same time.
• Can identify potential issues in data and processes before they affect business results.
• Like working closely with analysts and cross-functional teams to build practical and scalable data solutions.
• Combine technical depth, systematic thinking, and ownership of results.

Impact Areas:

• Building and maintaining ELT processes for collecting, transforming, and loading data from multiple sources into BigQuery.
• Developing and scaling the dbt project for data modeling (stage, base, intermediate, dimension, report layers) used for analytics and reporting.
• Optimizing pipeline performance, SQL queries, and data models to improve efficiency and reliability.
• Validating, testing, and ensuring data quality across all stages of the data pipeline.
• Setting up monitoring and alerting for data pipelines and key infrastructure components.
• Integrating data from multiple sources (mobile app, finance, marketing), including APIs and external systems.
• Working closely with analysts to ensure data is well-structured, easy to use, and supports business needs.
• Maintaining up-to-date documentation for data architecture, ELT processes, and dbt models.
• Tools you’ll work with: SQL, Python, dbt, and GCP cloud services for building and maintaining data pipelines.

What we expect from you:

• 3+ years of experience as a Data Engineer or in a related role with a strong focus on pipelines and data modeling.
• Deep knowledge of SQL: complex queries, optimization, and understanding of Data Warehousing principles.
• Hands-on experience with BigQuery, Snowflake, Redshift, or other analytical data warehouses.
• Practical experience with dbt, including testing, documentation, and CI/CD integration.
• Experience building and maintaining ELT / ETL pipelines.
• Strong Python skills for integrations, automation, and data processes.
• Confident use of Git and experience working with GitHub / GitLab.
• Experience with GCP or other cloud platforms.
• Strong attention to detail, problem-solving mindset, and ownership of results.
• Experience working closely with analysts and understanding their data needs.

Nice to have:

• Experience optimizing cost efficiency and query performance in cloud environments.
• Experience with real-time / streaming data solutions.
• Ability to explain technical solutions clearly to business stakeholders.

Hiring process:
Recruiter Interview → Interview with Product Analyst and Data Engineer → Final Interview with HRD → Job Offer 🚀