We are looking for a mid-level Data Engineer to join our growing engineering team and help build reliable, scalable data systems for our products and internal analytics.

In this role, you will work on data pipelines, cloud-based data infrastructure, and data modelling to support product, marketing, and business teams with high-quality and actionable data.

Data Pipeline & Infrastructure

• Build and maintain data pipelines that ingest data from third-party APIs and internal sources into the company’s cloud data platform.
• Monitor, troubleshoot, and optimize pipeline performance to ensure reliable and timely data delivery.
• Work with orchestration tools to schedule and manage data workflows.
• Maintain data quality checks, validation processes, and technical documentation.

Data Modeling & Transformation

• Develop and maintain data models using dbt or similar transformation frameworks.
• Transform raw datasets into clean, structured, analytics-ready tables for downstream reporting and analysis.
• Support the maintenance of staging, intermediate, and mart data layers.

Collaboration & BI Support

• Collaborate with Product, Marketing, and internal teams to understand data requirements and build scalable solutions.
• Support BI initiatives by contributing SQL views, datasets, and dashboard-related data structures.
• Work closely with engineers to continuously improve data architecture and workflows.

• 2–4 years of experience in Data Engineering, Analytics Engineering, or related roles.
• Strong SQL skills and experience working with relational databases or cloud data warehouses.
• Experience with Python or JavaScript for data processing, scripting, and API integrations.
• Hands-on experience with workflow orchestration tools such as Airflow or Dagster.
• Good understanding of data modelling concepts and practical experience building structured data layers.
• Familiarity with cloud data warehouse platforms such as BigQuery, Snowflake, or Redshift.
• Strong sense of ownership, attention to detail, and commitment to data quality.

Nice to Have

• Experience working with Google Cloud Platform (GCS, BigQuery, IAM).
• Familiarity with product analytics platforms such as Amplitude or Mixpanel.
• Experience handling data from mobile apps, ad networks, or attribution platforms.
• Exposure to BI tools such as Looker Studio, Hex, or similar platforms.
• Experience using AI-powered development tools such as Cursor, Claude Code, or similar tools in daily workflows.