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Urgent! Data Engineer (DWH / Big Data / Streaming / Cloud Consulting) Job Opening In Warsaw – Now Hiring Look4IT Sp. z o. o. (KRAZ: 7880)

Data Engineer (DWH / Big Data / Streaming / Cloud Consulting)



Job description

Interested in joining a world-class data engineering organization?


Apply now and choose your path - Data Warehouse, Big Data, Streaming, or Cloud Consulting - to help shape the next generation of data-driven solutions.
 
Our client is a global leader in next-generation digital services and consulting, enabling organizations in over 50 countries to accelerate their digital transformation.
With more than three decades of experience in managing the systems and operations of global enterprises, they expertly steer clients through their digital journey by building AI-driven, data-centric platforms that power innovation, efficiency, and growth.
 
As a Data Engineer, you will design, develop, and deliver end-to-end data solutions that form the foundation of modern analytics and AI platforms.
 
Depending on your skills and professional interests, you can join one of four dedicated data engineering teams:
 
Data Warehouse & ETL Engineering (DWH / dbt / Airflow / Snowflake):
 
  • Build and optimize data models and ETL pipelines for enterprise reporting and analytics.
  • Work with Snowflake, dbt, and Airflow to create robust, cost-efficient data flows.
  • Define best practices in data governance, data quality, and warehouse optimization.
 
Big Data Engineering (Spark / Hadoop / Java / Scala / AWS):
 
  • Develop and maintain large-scale data and ML pipelines using Spark, Hadoop, and AWS.
  • Write efficient and scalable code in Java or Scala, integrating multiple data sources.
  • Optimize data processing for high-volume, complex datasets and analytics workloads.
 
Streaming & Real-Time Data Engineering (Kafka / Flink / Spark Streaming / K8s):
 
  • Build real-time data ingestion and low-latency streaming pipelines.
  • Work with Kafka, Flink, and Spark Streaming to enable real-time decision systems.
  • Deploy and orchestrate services in Docker / Kubernetes environments.
 
Cloud Consulting & Platform Data Engineering (AWS / Azure / GCP / CI-CD):

  • Design and implement cloud-native data architectures using AWS, Azure, or GCP.
  • Integrate security, automation, and CI/CD pipelines into data workflows.
  • Collaborate with clients globally on data modernization and migration projects.
 
KEY RESPONSIBILITIES:
 
  • Build, test, and maintain scalable data pipelines and analytical platforms.
  • Ensure data reliability, quality, and performance through automated monitoring and testing.
  • Integrate diverse data sources using ETL, ELT, and streaming techniques.
  • Apply DevOps practices to data solutions (Terraform, CloudFormation, Docker, Kubernetes).
  • Partner with data scientists, architects, and business stakeholders to deliver impactful solutions.


Requirements

  • Minimum 5 years of professional experience in data engineering or related field.


  • Strong programming skills in Python, Java, or Scala.
  • Excellent SQL and data modeling expertise.
  • Hands-on experience with Big Data frameworks (Spark, Hadoop, Flink, Beam).
  • Knowledge of data orchestration tools (Airflow, Prefect, Control-M).
  • Experience with streaming systems (Kafka, Pub/Sub).
  • Solid understanding of cloud platforms (AWS, GCP, Azure) and native data services (S3, Redshift, BigQuery, Dataproc).
  • Familiarity with containerization and CI/CD (Docker, Kubernetes, Jenkins).
  • Strong analytical and problem-solving mindset.
  • Very good command of English (B2 minimum).
 
NICE TO HAVE:
 
  • Experience with dbt, Databricks, Terraform, or Data Governance frameworks.
  • Knowledge of industry standards such as NIST SSDF, ISO 27001, or data privacy frameworks.
  • Certifications in AWS / Azure / GCP or data engineering specializations.

Benefits

  • Multisport card and MyBenefit program;
  • Medical care;
  • Language courses;
  • Career in the multinational company;
  • Opportunity to take part in international projects and gain experience with various businesses;
  • Set of social benefits to choose from;
  • Training program.


Required Skill Profession

Computer Occupations



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