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Data Solutions Engineer

Role overview

Qualifications

  • Experience with automation frameworks and operational data integrations
  • Proficiency in BigQuery, BI systems, and various integration tools
  • Strong analytical and critical thinking skills
  • Ability to mentor junior engineers

Responsibilities

  • Design and implement complex automation workflows
  • Build and maintain operational integrations across tools and systems
  • Lead major incident investigations and implement preventive improvements
  • Write and maintain clean, modular, and scalable code

Key facts

Other skills

  • Incident Reporting
  • Analytical Thinking
  • Innovation
  • Mentorship
  • Collaboration
  • Detail Oriented

About the company

AI Digital logo

AI Digital

AdTech & Programmatic Advertising

AI Digital is an AI-native media consultancy helping agencies and brands navigate today’s fragmented media ecosystem. We combine hands-on expertise with AI transformation—through leadership strategy workshops, practical trainings, custom builds, and ongoing innovation-as-a-service—to drive outcome-focused media performance. We meet clients where they are and help them move fast, whether they’re navigating fragmented platforms, breaking free from walled gardens, or operationalizing AI for real-world results. No bias. No black boxes. Just performance. Why Clients Choose AI Digital - AI-enhanced planning and forecasting in under 30 seconds - Custom KPI engine + proprietary metrics like the Impact Score and Accountability Score - 99.9% premium supply access, no DSP bias - Real-time optimization powered by machine learning and expert oversight - Dedicated consulting to future-proof your AI readiness We don’t just promise AI transformation - we deliver it. We don’t replace expertise, we amplify it.

Company details

IndustryAdTech & Programmatic Advertising
Company size501 - 1000

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Job description

AI Digital is looking for a Middle/Senior Data Solutions Engineer who will be responsible for designing, scaling, and maintaining robust automation frameworks and operational data integrations across multiple platforms. This role will focus on driving efficiency, reliability, and scalability while ensuring high standards of technical documentation and operational excellence. The Senior Data Solutions Engineer will also mentor and support junior engineers and contribute to continuous process improvement and technical innovation across the Data Solutions team.


Responsibilities:

  • Design and implement complex automation workflows across BigQuery, BI systems, and other tools.

  • Build and maintain operational integrations that connect various tools and systems directly (e.g., ClicData, Slack, Google Sheets, or marketing platforms).

  • Lead major incident investigations, conduct root cause analyses, and implement preventive improvements and recovery mechanisms.

  • Drive analytical and critical thinking in data initiatives; challenge assumptions and propose innovative solutions.

  • Mentor junior colleagues.

  • Manage version control, code reviews, and collaborative development via GitHub; lead debugging, monitoring, and optimization of automation pipelines.

  • Collaborate with the engineering team to ensure automations align with reporting and system needs.

  • Write and maintain clean, modular, and scalable code; establish automated testing.

  • Develop and maintain comprehensive documentation frameworks; create reusable guides and ensure transparency across projects.

  • Demonstrate exceptional attention to detail and establish team-wide quality standards; contribute to and align data strategies with organizational goals, influencing long-term data roadmap and architecture decisions.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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