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Senior Data Software Engineer

ActiveCampaign • Sales & Marketing • Marketing Automation • Python • SQL • Looker • 4 months ago
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Salary
$58k – $87k per year
Location
Hybrid (Kraków, Poland)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jun 15, 2026. ActiveCampaign scores C on the Alion truth index.

Overview
Company
Impact
Profile match

ActiveCampaign

ActiveCampaign is a marketing automation and customer experience platform for small and mid-sized businesses. It combines email campaigns, behavioural triggers, a built-in CRM and sales automation. The company serves well over a hundred thousand customers globally.
activecampaign.com • HQ: Chicago, United States • Sales & Marketing • Email Marketing • Marketing Automation • 1001-5000 employees • Est. 2003
Tech stack of ActiveCampaign
Backed by Susquehanna Growth Equity, Silversmith Capital Partners, Equity Venture Partners

What your day could consist of:

  • Architect and Build Pipelines by designing, developing, and maintaining high-throughput data pipelines that seamlessly transform data across our ecosystem
  • Execute Data Modeling and Schema Design, utilizing DDL and DML operations to optimize data structures for both performance and long-term scalability
  • Champion Engineering Excellence by implementing automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform) to ensure system health and reliability.
  • Collaborate Cross-Functionally with Data Science and AI teams to engineer feature stores and automated MLOps pipelines, moving cutting-edge research into live production environments
  • Drive System Monitoring and health checks, ensuring our containerized and orchestrated environments (Kubernetes, Docker, Airflow) run at peak efficiency.
  • Act as a Technical Advisor to stakeholders, translating complex data architectures into clear, non-technical conversations that guide business decisions

Technical environment:

  • Databases: MySQL, Amazon Aurora, Amazon RDS, PostgreSQL
  • ata Storage and Analytics: AWS S3, Apache Iceberg, Snowflake, Apache Druid, Looker
  • Data Processing and Transformation: Apache Spark, DBT
  • Languages: Python (primary)
  • Infrastructure as Code: Terraform
  • Containerization and Orchestration: Kubernetes, Docker, Airflow

The Ideal Candidate Will Bring:

  • 5+ years of professional software engineering experience, with a proven track record of building and maintaining production-grade data systems.
  • Deep Data Architecture expertise, with the ability to design modern data stack components and schemas that balance immediate performance with future growth.
  • Proficiency in Infrastructure as Code, specifically using Terraform to manage and deploy your own infrastructure.
  • A high level of software rigor, including a strong background in automated testing, CI/CD, and general software engineering best practices
  • Expert-level SQL skills (particularly MySQL), with a focus on optimizing complex queries for maximum performance.
  • Experience in a modern technical environment, ideally having worked with Python, AWS (S3, Aurora, RDS), Snowflake, Apache Spark, and DBT
  • Exceptional communication skills, with the talent to distill complex technical concepts into clear, actionable insights for both technical and non-technical peers
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