Senior Data Platform Engineer (DevOps)

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

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you will be helped and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

YOUR ROLE

In a world where data drives every decision, we are the ones shaping its future. Within our Insights & Data practice, we build platforms and solutions that go far beyond traditional analytics — they redefine how organizations operate. We merge cloud technologies, big data processing, automation, MLOps, and generative AI to create intelligent, scalable data ecosystems designed for rapid innovation.

We experiment, prototype, and bring visionary ideas to life: generative AI–enhanced workflows, automated orchestration, low‑latency streaming architectures, and production‑grade machine learning platforms. We also explore emerging areas such as Quantum Computing and multimodal AI to unlock new technological frontiers.

If you want to co‑create data solutions that challenge the status quo and set new standards for the industry, join us.

YOUR TASKS

• 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),
• 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.

YOUR PROFILE

• 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.

What You’ll Love About Working Here

• Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
• Award-Winning Stability & Culture: Become part of an organization celebrated as "Top Employer Poland 2024" - in the audit our stable and supportive work environment scored 100%!
• 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.

GET TO KNOW US

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.

About Capgemini

Capgemini is the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market‑leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries. The Group reported 2025 revenues of €22.5 billion.