Capgemini

Senior Data Platform Engineer (DevOps)

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SeniorOn-site·GdańskFull-time

#330805·Dodano 6 miesięcy temu·9

Źródło: Capgemini

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Tech Stack / Keywords

GoCloudBig DataMLOpsGenerative AI Machine LearningAIAWS

Firma i stanowisko

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage, employing over 420,000 team members in more than 50 countries. The company delivers end-to-end services and solutions across strategy, technology, design, engineering, and business operations, reporting 2025 global revenues of €22.5 billion.

Wymagania

Practical experience building data platforms using one or more cloud providers: AWS, Azure, or GCP.
Strong understanding of large-scale data processing (Spark, Hive, Snowflake, Delta Lake or similar).
Excellent SQL skills and experience with relational and/or NoSQL databases.
Programming skills in Python or Scala.
Experience with CI/CD tools (Azure DevOps, GitHub Actions, GitLab CI, Jenkins).
Hands-on experience with Docker and Kubernetes.
Knowledge of DataOps principles, data testing, and monitoring.
Good understanding of data security, encryption, and identity/access management.

Nice to have:

Familiarity with cloud AI/ML services or generative AI tools.
Very good command of English.

Obowiązki

Design and develop scalable cloud-based Data Platforms (AWS / Azure / GCP).
Build, optimize, and maintain data pipelines for batch and streaming workloads.
Integrate with diverse data sources and expose data through APIs, semantic layers, and data warehouses.
Work with cloud services including orchestration tools (e.g., Dataflow, Data Pipeline, ADF, MWAA, Cloud Composer), compute & processing services (e.g., Databricks, EMR, Glue, DataProc, Snowflake), and event-driven services (e.g., EventBridge, Pub/Sub, Event Hub).
Design, develop, and optimize data models and multi-layered data processing architectures (bronze/silver/gold).
Ensure efficient performance and optimization of SQL/NoSQL solutions.
Collaborate with Data Scientists and engineering teams to operationalize ML models.
Document data architectures, workflows, and technical processes.
Ensure security, compliance, and robust data governance across the platform.
Participate in architectural discussions and contribute to technology recommendations.

Benefity

Medical care with Medicover.
Private life insurance.
Sports card.
Capgemini Helpline offering therapeutical support.
Educational podcast 'Let's talk about wellbeing'.
Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on the NEXT platform.
Free access to Education First languages platform, Pluralsight, TED Talks, Coursera, and Udemy Business materials and trainings.
Recognized as 'Top Employer Poland 2024' with a stable and supportive work environment.
Opportunity to work with cutting-edge technology and top global enterprises including 145 Fortune 500 companies.

Opieka zdrowotna

Ubezpieczenie

Karta sportowa

Szkolenia wewnętrzne

Inne informacje

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. Individuals are evaluated based on qualifications and performance, not personal characteristics.

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