Data Engineer – BigQuery & Platform Evolution (m/f/d)

Predict42; Mainz; Hybrid; EUR 50,000 - 75,000; Full time

Benefits offered by this job

Equity (stock options)

Hybrid work model

Pension plan contribution (20%)

Research time

Team events / Offsite

Job summary

Predict42 is seeking an experienced Data Engineer (m/f/d) to reinforce our platform team. You will work on data warehouse structures in Google BigQuery, build scalable SQL models, and migrate workloads to BigQuery as part of our MIGO Feedback Hub product.

Ideal candidates have 1+ years in data engineering, strong SQL and Python skills, and hands-on BigQuery experience, plus German B2 and fluent English for our international team.

Qualifications

• 1+ years professional experience in data engineering, data warehousing, or a similar role.

Responsibilities

• DWH & Data Modeling: shape, build, and operate high-performing data warehouse structures for BigQuery.
• SQL Transformations: design and optimize complex SQL models using Dataform, dbt or similar frameworks.
• Migration Projects: drive migration of workloads from ClickHouse to BigQuery with data models and pipelines.
• Data Pipelines & Semantic Layer: engineer fault-tolerant ingestion and ETL/ELT pipelines and semantic layer.
• Testing & Standards: establish automated data validation and monitoring across pipelines.
• Software Best Practices: apply Git-based workflows, CI/CD, and automated testing.

Skills

SQL

Python

BigQuery

Data Modeling

Data Warehousing

Dataform

dbt

Git & CI/CD

German (B2)

English (Fluent)

Tools

BigQuery

Dataform

dbt

Git

CI/CD

Job description

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.

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.

EARN:Salary + Equity

We foster an entrepreneurial culture by offering a virtual stock option program.

we offer mix of remote and on-premise work, combining the best of both worlds

GROW:Research Time

all employees have blocked research time per week at their disposal.

we subsidize up to 20% of you pension plan / direct insurance via salary conversion

COMPASSION: Care

we care and support you, if you go through a difficult time at some point in your life.

BOND: Team Building

we organize different team events, including a super exciting offsite each year.