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Data Engineer: Build Real-Time Data Pipelines & ML
Build and optimize batch and real-time data pipelines, develop ML features, and design scalable data architectures using Python, Spark, Kafka, and Kubernetes.
Senior Platform Operations Engineer (DevOps - Ops Focus)
Own and run a Kubernetes-based cloud platform, troubleshoot container failures, and ensure stability for data engineers and analysts using Docker, Helm, and Prometheus/Grafana.
Senior Platform Operations Engineer (DevOps - Ops Focus)
Senior engineer maintains and troubleshoots a Kubernetes-based cloud Big Data platform, diagnosing container failures and performance issues while ensuring uptime for internal users.
Staff DevOPS Engineer (f/m/d) (EN)
Build and run a cloud-native Big Data platform on IONOS’s own cloud, owning Kubernetes, Terraform, and ArgoCD deployments while supporting internal data teams with L2/L3 ops and performance tuning.
Senior Backend Spark Developer
Senior backend engineer building and optimizing large-scale data pipelines with Apache Spark and Scala/Python to power financial IT systems and cross-country operations.
Senior Backend Spark Developer (Remote from Spain)
Build and optimize high-performance Big Data pipelines using Apache Spark (Scala/Python) on Azure Databricks, ensuring scalable data processing for enterprise clients.
Growth-Oriented Spark Backend Developer (Junior)
Build and maintain backend services using Spark, SQL, and Python/Java to support data-driven digital transformation projects in a collaborative, international team.
Backend Spark Developer Jr. - Remoto
Build and maintain backend data-processing services using Spark, SQL variants, and Scala/Python/Java in a team that blends business, tech, and AI.
Data & AI Engineer with MS Fabric or Databricks - Junior/Mid/Senior
Build and maintain end-to-end data pipelines and analytical models using Databricks, Microsoft Fabric, Python, SQL and Spark to deliver AI-driven insights for enterprise clients.
Data Science & Engineering Intern — Cloud + Modeling
Intern builds data models and cloud pipelines using SQL, Python, Spark, and Azure to support predictive analytics and new IT systems.
Big Data Engineer (Spark/Scala) Spark, Scala, Python, Hadoop, SQL, AWS Warsaw, Łódź, Gdańsk, Gdynia
Build and maintain distributed big-data pipelines using Spark, Scala, Python, and AWS to process large datasets in near real-time for analytics and visualization.
Big Data Engineer (Spark/Scala) Spark, Scala, Python, Hadoop, SQL, AWS Warsaw, Łódź, Gdańsk, Gdynia
Builds and maintains distributed Spark/Scala pipelines on AWS to process large datasets in near real-time, enabling analytics and visualization for clients.
Cloud Data Platform Engineer — Scalable, AI‑Driven
Designs and builds cloud-based data pipelines and platforms, enabling scalable data processing and ML model deployment across AWS/Azure/GCP.
Data Engineer - Automation & Innovation Department @ T-Mobile Polska
Build and maintain scalable data pipelines on GCP, integrating batch and streaming sources with BigQuery, Spark, and Kafka to power analytics and reporting across T-Mobile Polska.
Big Data Engineer Scala,spark @ Link Group
Design and build scalable big-data pipelines in Scala/Spark to process financial market data for real-time analytics and reporting.
Data Engineer - Junior/Mid/Senior - ICH Europe
Build and optimize scalable data pipelines and AI solutions using cloud platforms, SQL, ETL tools, and Python/R for European clients.
Data Engineer - Junior/Mid/Senior - ICH Europe
Build and optimize scalable data pipelines and AI solutions using cloud platforms, ETL tools, and SQL for enterprise clients across Europe.
Data Engineer Intern: Build Data Models & Cloud Skills
Build and refine data models using SQL, Python, Spark, and Azure while learning cloud technologies and predictive modeling in a hands-on internship.
Senior / Mid Data Engineer (Data & AI Factory), Permanent contract
Build and maintain data pipelines, AI models, and transformations using Python, GCP, Dataiku, and SQL to turn raw data into business insights for enterprise clients.
Senior Data Engineer On-Premises Data Platforms @ Jacobs
Design, build, and maintain enterprise-scale data pipelines in on-premises and hybrid environments, integrating data from databases, legacy systems, and APIs using SQL, Python, Spark, and ETL/ELT tools.