Senior Data Platform Engineer - Cloud & GenAI Pipelines

Capgemini; Kraków; On-site; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Medicover health

Private life insurance

Sports card

Capgemini wellbeing helpline

70 training tracks on NEXT platform

Access to education platforms

Job summary

Capgemini Kraków is hiring for a Data Platform engineer who designs and builds scalable cloud-based data platforms across AWS, Azure and GCP. You will create and optimize data pipelines for batch and streaming workloads, integrating diverse data sources and exposing data via APIs, semantic layers, and warehouses.

You will work with Spark-based processing, SQL/NoSQL databases, and orchestration tools, collaborating with Data Scientists to operationalize ML models and ensure governance and

Qualifications

• Experience building data platforms on 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; experience with relational and/or NoSQL databases.

Responsibilities

• Design and develop scalable cloud-based data platforms (AWS / Azure / GCP).
• Build, optimize, and maintain data pipelines for batch and streaming workloads.

Skills

Cloud platforms

Big data processing

SQL

Python/Scala

CI/CD

Docker & Kubernetes

Data governance

English

Tools

Databricks

EMR

Glue

DataProc

Snowflake

Apache Airflow

Job description

Capgemini Kraków is hiring for a Data Platform engineer who designs and builds scalable cloud-based data platforms across AWS, Azure and GCP. You will create and optimize data pipelines for batch and streaming workloads, integrating diverse data sources and exposing data via APIs, semantic layers, and warehouses.

You will work with Spark-based processing, SQL/NoSQL databases, and orchestration tools, collaborating with Data Scientists to operationalize ML models and ensure governance and