Senior AI Data Engineer (AI/Data Platform, Cloud Technologies, Python)

Capgemini; Warszawa; Hybrid; PLN 120,000 - 150,000; Full time

Benefits offered by this job

Yearly financial bonus

Private medical care

Access to training tracks

Hybrid working model

Job summary

Capgemini is looking for a Senior AI Data Engineer in Warsaw to design and optimize scalable AI-ready data platforms. You will work closely with Data Scientists and AI Engineers to deliver secure, high-performance data solutions.

The role involves developing ETL pipelines, supporting AI workflows, and building cloud-native architectures. Enjoy the benefits of a hybrid working model, financial bonuses, and extensive training opportunities while being part of a diverse and inclusive workplace.

Qualifications

• 5+ years of experience in Data Engineering or AI Data Platform development.
• Hands-on experience with Apache Spark, Kafka, and Hadoop.
• Strong analytical, communication, and problem-solving skills.

Responsibilities

• Design and develop scalable ETL/ELT pipelines for structured and unstructured data.
• Build and optimize cloud-native data platforms and lakehouse architectures.
• Support AI and machine learning workflows with high-quality data solutions.

Skills

Python

SQL

PySpark

Apache Spark

Kafka

AWS

Agile environments

Tools

Databricks

Snowflake

BigQuery

Redshift

Docker

Kubernetes

Airflow

Job description

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting‑edge solutions. Join us to drive transformation tailored to our client’s challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

Your role

As a Senior AI Data Engineer, you will design, develop, and optimize scalable AI‑ready data platforms and cloud‑based data pipelines that support advanced analytics, machine learning, and Generative AI initiatives. You will collaborate closely with Data Scientists, AI Engineers, and cross‑functional teams to deliver secure, high‑performance, and enterprise‑grade data solutions that drive business innovation and operational excellence.

Your project

You will be part of a modern data and AI transformation program focused on building scalable cloud‑native data platforms, real‑time data processing systems, and AI infrastructure. The project includes development of data lakes, lakehouse architectures, and AI/ML pipelines supporting enterprise analytics and Generative AI use cases.

Your client

Our client is a global technology‑driven organization investing in advanced data engineering, AI platforms, and cloud modernization initiatives. The environment promotes innovation, collaboration, and adoption of cutting‑edge technologies to accelerate digital transformation and business growth.

Your tasks

• Design and develop scalable ETL/ELT pipelines for structured and unstructured data
• Build and optimize cloud‑native data platforms and lakehouse architectures
• Support AI, machine learning, and Generative AI workflows with high‑quality data solutions
• Develop batch and real‑time data processing pipelines using Spark and Kafka
• Implement data governance, quality monitoring, and security best practices
• Collaborate with Data Scientists and AI Engineers on model training and deployment pipelines
• Automate workflows using orchestration and CI/CD tools
• Optimize system performance, scalability, and infrastructure costs

Your profile

• 5+ years of experience in Data Engineering or AI Data Platform development
• Strong expertise in Python, SQL, and PySpark
• Hands‑on experience with Apache Spark, Kafka, Hadoop, and Databricks
• Experience with Snowflake, BigQuery, or Redshift
• Strong knowledge of AWS, Azure, or Google Cloud Platform
• Experience with Airflow, dbt, Prefect, Docker, and Kubernetes
• Familiarity with Terraform, CI/CD pipelines, Git, Jenkins, and GitHub Actions
• Knowledge of Vector Databases, LLM Frameworks, and modern AI architectures
• Strong analytical, communication, and problem‑solving skills
• Experience working in Agile and collaborative environments

What You'll Love About Working Here

• Practical benefits: yearly financial bonus, private medical care with Medicover including additional packages (dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform.
• Access to over 70 training tracks with certification opportunities (GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.
• Cutting‑Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies.
• Enjoy hybrid working model that fits your life – after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.

Capgemini diversity and inclusion statement

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.