Tech Lead - Full-Stack Data & Python Engineering

New
Opportunity to work remotely within PolandFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English (B2 or higher)
Experience
5+ years
Required Skills
AWSPythonSQLJenkinsSnowflakeTerraformdbtGitHub Actions

Requirements

  • 5+ years of relevant experience, including 1+ years in a technical lead role.
  • Expert-level proficiency in Python including OOP, decorators, and async programming.
  • Strong SQL development expertise, specifically with star/snowflake schema modeling and Snowflake performance tuning.
  • Proven hands-on experience with Snowflake and dbt (Core or Cloud).
  • Practical background in AWS Glue, Lambda, Athena, S3, and Step Functions.
  • Competency in CI/CD using GitHub Actions or Jenkins.
  • Automated testing experience using Pytest, dbt tests, and Great Expectations.
  • Proficiency in Infrastructure as Code (IaC) with Terraform, AWS CDK, or CloudFormation.
  • Ability to create architecture, sequence, and data flow diagrams.
  • Strong stakeholder management and communication skills.
  • Proficiency in English at an Upper-Intermediate level (B2) or higher.

Responsibilities

  • Define technical vision, reference architectures, and design patterns for data ingestion, transformation, governance, and serving.
  • Design and develop end-to-end data pipelines, APIs, and backend systems using Python, dbt, and Snowflake.
  • Enforce coding standards, testing strategies, and code review practices to ensure high-quality, secure code.
  • Lead Infrastructure as Code (IaC) using Terraform, CloudFormation, or AWS CDK to automate deployments.
  • Architect and implement integrations using AWS Glue, Lambda, Athena, S3, and Step Functions.
  • Implement comprehensive test coverage using Pytest, dbt tests, and Great Expectations.
  • Maintain CI/CD pipelines for data workflows and Python services.
  • Mentor and coach data engineers on best practices and architectural thinking.
  • Lead on-call rotations and incident response, performing root cause analysis.
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