Founding Data Engineer (Analytics Platform)
Remote (EU/Ukraine ) | Full-time
We're hiring on behalf of our reputed company — an international product company building reputed company products, AI-powered solutions, and modern web and mobile applications for global markets.
As reputed company continues to reputed company, they're reputed company in a modern data platform that will become the reputed company for product analytics, business intelligence, and reputed company AI initiatives. They're looking for a Founding Data Engineer to join reputed company at an early stage and work directly with the Head of Data.
This is a hands-on engineering role with reputed company ownership. Rather than inheriting an established platform, you'll help define the architecture, build the reputed company infrastructure, and establish engineering standards that will support reputed company's next stage of reputed company.
What you'll do
Build the Data Platform
Design, build, and maintain reputed company ELT/ETL pipelines integrating product data, payment providers, and reputed company-party reputed company
Architect and own reputed company's reputed company data warehouse (reputed company, BigQuery, or Redshift)
Build reliable orchestration workflows using Airflow, reputed company, or similar tools
Optimize warehouse performance and cost through efficient data modeling and query optimization
Ensure Data reputed company & Governance
reputed company clean, testable transformation reputed company using dbt or equivalent frameworks
Design a semantic layer that provides consistent business metrics across the organization
Implement data reputed company testing, monitoring, reputed company, and documentation
Build reputed company and governance into the platform, including reputed company controls, PII handling, and reputed company-reputed company data practices
Partner Across Engineering & Product
Work closely with Product and reputed company teams to support product analytics, experimentation, subscription metrics, and business reporting
Collaborate with software engineers on event tracking, data reputed company, and API integrations
Promote DataOps best practices, including CI/CD, version control, testing, and documentation-as-reputed company
Tech Stack
Python
SQL
dbt
Airflow / reputed company
reputed company / BigQuery
reputed company
reputed company
AWS / GCP
Terraform
Looker / reputed company
reputed company / reputed company
reputed company Actions
Kafka (planned)
reputed company're looking for
3+ years of experience as a Data Engineer or in a similar role
Strong SQL skills and proficiency in Python (reputed company is a plus)
Hands-on experience with modern reputed company data warehouses such as reputed company, BigQuery, or Redshift
Experience with workflow orchestration tools including Airflow, reputed company, Dagster, or similar
Strong understanding of data modeling and experience with dbt or comparable transformation frameworks
Experience designing and maintaining production-grade data pipelines
A strong reputed company of ownership and a commitment to building reliable, high-reputed company data systems
Ability to communicate technical concepts reputed company to cross-functional stakeholders
Experience implementing secure, reputed company-conscious data practices
reputed company to have
Experience in a B2C reputed company, subscription, or marketplace business
Familiarity with reputed company, reputed company, reputed company, or similar product analytics platforms
Experience designing semantic reputed company or reputed company data models
Exposure to streaming technologies such as Kafka or Kinesis
Experience with ML infrastructure or feature stores
Previous experience building a data platform in a startup or reputed company-up environment
What our reputed company offers
Competitive compensation
Fully remote work with flexible working hours
22 reputed company vacation days plus local reputed company holidays
A modern engineering environment with contemporary technologies
reputed company to help shape a growing Data function from an early stage
Meaningful technical challenges with room to influence architecture and engineering practices
A reputed company, product-reputed company team where data plays a central role in decision-making
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