Quick Summary
Dignify focuses on everything that deals with artificial intelligence (AI) and machine learning, specifically in a marketing context. We bring data engineers and data scientists with deep technical expertise together with marketers, growth hackers, and marketing automation experts.
You have experience designing and deploying data processing solutions to production Strong experience with Google BigQuery and SQL Experience with data orchestration, CI/CD and cloud-native data architectures Comfortable working with APIs, data…
Responsibilities
~1 min readBuild and manage data pipelines, APIs and data exports
Set up and maintain CI/CD pipelines, data orchestration and workflows
Optimize and renovate existing data pipelines and queries to improve performance, reliability and scalability
Monitor data pipelines and workflows, including incident detection and alerting
Ensure data solutions run efficiently and reliably in real‑world production environments
Get hands-on with coding, testing, deploying and maintaining data solutions
Work closely with data scientists, engineers and consultants within agile project teams
Actively contribute to our DataOps practice, sharing knowledge and improving standards
Requirements
~1 min readYou have experience designing and deploying data processing solutions to production
Strong experience with Google BigQuery and SQL
Experience with data orchestration, CI/CD and cloud-native data architectures
Comfortable working with APIs, data exports and workflow automation
You have strong analytical skills and affinity with data-driven solutions
Familiarity with data science concepts is a strong plus
You are used to working in agile teams and are a true team player
You are fluent in English and have a solid technical academic background
Being surrounded by experienced professionals eager to support your growth
Becoming a key player in a growing company where your work makes a real impact
A vibrant, fun and collaborative workplace culture
Clear and exciting career growth opportunities
An attractive and competitive salary package
Periodic training sessions to stay ahead in your expertise
Working with interesting and well-known companies in retail, publishing, travel and healthcare
Bringing challenging and innovative projects to life, gaining visibility and recognition
Location & Eligibility
Listing Details
- Posted
- April 14, 2026
- First seen
- May 5, 2026
- Last seen
- May 6, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 16%
- Scored at
- May 6, 2026
Signal breakdown
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