Mainz
Full Time
Engineering

Data Engineer – BigQuery & Platform Evolution

We at Predict42 are the "AI-first" B2B SaaS scale-up behind the MIGO Feedback Hub. We transform scattered feedback for global market leaders into actionable knowledge – with AI as the true core of our product, rather than just a trendy feature.

As we transition from a startup to an enterprise scale-up, we are looking for an experienced Data Engineer (m/f/d) with a strong data warehousing background to structurally reinforce our platform team. In this role, you will ensure operational reliability, optimize our data architecture, and lay the foundation for our strategic milestones.

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Responsibilities

  • DWH & Data Modeling: You shape, build, and operate high-performing data warehouse structures and analytical models natively optimized for Google BigQuery. 
  • SQL Transformations: Design, develop, test, and optimize complex, maintainable, and high-performance SQL-based data models using Dataform, dbt, or comparable transformation frameworks.
  • Migration Projects: Contribute directly to the modernization of our data platform and drive the migration of existing data warehouse workloads from ClickHouse to BigQuery—including data models, transformations, pipelines, and validation.
  • Data Pipelines & Semantic Layer: You engineer robust, fault-tolerant ingestion and ETL/ELT pipelines and model a consistent semantic data layer for reliable downstream data delivery. 
  • Testing & Standards: Establish and continuously improve automated testing, data validation, and monitoring standards across all data pipelines.
  • Software Best Practices: Apply modern software engineering practices—such as version control, code reviews, CI/CD, and automated testing—to elevate our data workflows.

Qualifications

  • Experience: Professional experience (1+ years) in data engineering, data warehousing, or a similar role. You work highly independently and thrive when taking on real responsibility.
  • Focus on SQL & Data: Strong SQL skills for crafting complex queries, modeling analytical layers, and handling large datasets with ease.
  • Python & Automation: Practical experience using Python to implement pipelines, automate operational processes, and replace recurring manual tasks.
  • Cloud & Tools: Sound hands-on experience with Google BigQuery in a production environment, as well as practical experience with Dataform or a comparable SQL transformation framework (e.g., dbt).
  • Engineering Mindset: Solid foundation in Git-based workflows, CI/CD, and automated quality checks, paired with a pragmatic approach focused on reliability and maintainability.
  • Language: German (B2 Minimum) and fluent English (written and spoken) for seamless collaboration in our international team.

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Perks & Benefits

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EARN: Salary + Equity
We foster an entrepreneurial culture by offering a virtual stock option program.
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FLEXIBILITY: Hybrid work
we offer mix of remote and on-premise work, combining the best of both worlds
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GROW: Research Time
all employees have blocked research time per week at their disposal.
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PLAN: Pension Plan
we subsidize up to 20% of you pension plan / direct insurance via salary conversion
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COMPASSION: Care
we care and support you, if you go through a difficult time at some point in your life.
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BOND: Team Building
we organize different team events, including a super exciting offsite each year.
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Interested? Apply now.

Send us a quick email with your CV and Linkedin Profile (if available).

people@predict42.com

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