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Software Mind

Software Mind is a global custom software engineering and digital transformation consultancy. Headquartered in Kraków, Poland, the company operates nearshore and offshore delivery centers across Europe, North America, and Latin America. It provides end-to-end software development, cross-functional engineering teams, and technology consulting to scale-ups, unicorns, and enterprise clients worldwide.

We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!

We are currently looking for a skilled Senior Python Data & Automation Engineer to join our dynamic team and collaborate closely with an established digital advertising agency managing paid media programs for a growing client base.

As part of a business-critical data and automation environment, the Senior Python Engineer will take ownership of the Python workflows that connect client financial data, CRM data, first-party website data, and advertising-network data. This is a high-impact, high-ownership role that begins with a hands-on knowledge transfer from the departing engineer and grows into shaping the long-term architecture of the platform.

You will play a key role in stabilizing daily operations, improving the reliability and scalability of existing pipelines, and applying AI responsibly to accelerate delivery. This role contributes directly to protecting client campaign performance while building a more resilient, modern data and automation platform.

Expectations - the experience you need

  • Advanced professional experience developing and supporting production systems in Python.
  • Strong ETL/ELT, data integration, and SQL experience.
  • Experience integrating with REST APIs, third-party platforms, and heterogeneous source systems.
  • Experience with AWS-hosted applications or data workloads.
  • Proven ability to understand and safely modify unfamiliar or poorly documented code.
  • Experience with data-quality validation, reconciliation, exception handling, logging, and monitoring.
  • Sound software engineering practices, including testing, version control, code review, and controlled deployment.
  • Ability to design maintainable solutions rather than a collection of isolated scripts.
  • Experience working directly with business stakeholders and translating operational needs into technical solutions.
  • English proficiency (C1 level or higher), both written and spoken, with strong communication skills.

Nice to have:

  • Background in advertising technology, marketing technology, or digital attribution platforms.
  • Experience with Google Ads, Meta, or other advertising-network integrations.
  • Familiarity with conversion APIs or offline conversion imports.
  • Experience with Salesforce, HubSpot, Snowflake, or similar platform integrations.
  • Exposure to workflow orchestration tools such as Airflow, Prefect, or Dagster.
  • Experience with data-transformation frameworks such as dbt.
  • Consulting, agency, or professional-services delivery experience.

What you will do

  • Complete a structured knowledge transfer with the outgoing engineer and take ownership of critical Python workflows
  • Maintain, troubleshoot, and improve the existing Python codebase supporting paid media operations
  • Build and support integrations with CRM systems, financial platforms, data warehouses, websites, and advertising networks
  • Improve the separation of data ingestion, transformation, storage, and downstream outputs
  • Implement data-quality checks, reconciliation, exception handling, logging, and alerting
  • Use approved AI development tools to accelerate code analysis, documentation, testing, and delivery, while protecting client data
  • Identify repetitive processes that can be automated to increase team capacity
  • Assess the current architecture and recommend pragmatic improvements once operations are stabilized
  • Operate as a consistent, embedded member of the client team, communicating clearly with nontechnical stakeholders including the CEO and COO

This is currently projected as a 4-6 month engagement.

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