Senior AI/Data Platform Engineer GCP AI & GenAI Platforms, KRAKOW RZESZÓW WROCŁAW LUBLIN KATOWICE KIELCE WARSZAWA ŁÓDŹ OPOLE
- 5+ years of experience in Data Engineering or AI data platform roles
- Strong hands‑on experience with Google Cloud Platform
- Deep experience with BigQuery and cloud‑native data architectures
- Strong programming skills in Python, SQL, or similar languages
- Practical understanding of AI/ML/GenAI data requirements
- Experience operating production data platforms at enterprise scale
Nice to have:
- Experience with Vertex AI and managed ML services
- Familiarity with streaming technologies (e.g. Pub/Sub, Dataflow streaming)
- Multi‑cloud experience (AWS, Azure + GCP)
- Experience in consulting or complex, multi‑project environments
Join our dynamic team building cloud‑native AI data platforms that power analytics, machine learning, and GenAI solutions across global, multi‑industry programs. We are looking for a Senior AI/Data Platform Engineer with a strong focus on Google Cloud Platform to design, build, and operate scalable, AI‑ready data platforms. This hands‑on platform engineering role focuses on creating robust data foundations that enable advanced AI and GenAI use cases at enterprise scale, rather than on pure modeling or research.
We offer:
- Rewarding employment: Full-time employment with a salary that matches your qualifications
- Flexible hours: Start your day anytime between 7:30 and 10:00 AM
- Comprehensive benefits: Including Lux Med medical care, psychological support, life insurance, My Benefit cafeteria system, Multisport card co-financing, and a car/bike park sharing system
- Co-financed holidays: Enjoy "Wczasy pod Gruszą" for a well-deserved break
- Global projects: Engage in exciting international projects
- Inclusive networks: Join our diverse employee networks like Women's Network, OneWorld, PRISM, Careers Network, Green Team, SpeakUp, Collectively, and more
- Continuous learning: Participate in our Graduate Development Program, Learners’ Community, and self-learning platforms
- Language courses: Enhance your skills with courses in English, German, and Polish
We know that if we are inclusive, we’re more connected, and if we are diverse, we’re more creative. We accept people for who they are, regardless of age, disabilities, gender identity, gender expression, marital status, mental health, race, faith or belief, sexual orientation, socioeconomic background, and whether you’re pregnant or on family leave. Find out more about life at Jacobs.
As a Disability Confident employer, we will interview all disabled applicants who meet the criteria for a vacancy.
If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team r[email protected]
,[Design and operate GCP‑based data platforms for analytics, ML, and GenAI, Build scalable data pipelines using BigQuery, Cloud Storage, Dataflow, Dataproc, or equivalents, Design data architectures that support high‑performance AI and ML workloads, Integrate structured and unstructured data sources at enterprise scale2. AI & GenAI enablement, Enable GenAI use cases such as RAG, semantic search, and AI agents on GCP, Implement embedding pipelines and vector search solutions (e.g. BigQuery, Vertex AI, or vector databases), Collaborate with ML engineers and data scientists to support end‑to‑end AI workflows, Support deployment and operation of AI workloads using Vertex AI or equivalent services, Platform reliability & optimization, Monitor and optimize performance, scalability, and cost of GCP data platforms, Implement CI/CD, data quality, and observability practices, Contribute to platform standards, reference architectures, and best practices] Requirements: Python, Data engineering, AI, Google Cloud Platform, Machine learning, BigQuery, RAG, GenAI, SQL, Vertex AI, Azure, AWS Tools: Jira, Agile, Scrum. Additionally: Sport Subscription, Private healthcare, Language courses, Mentoring program, Career growth, Work-life balance, Flexible working hours, Trainings, Life insurance, Modern office.