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Junior Data & AI Engineer - Databricks & Fabric Specialist
Designs and builds data pipelines using Databricks and Microsoft Fabric, optimizing data workflows for AI applications.
Senior Cloud Data Platform Engineer | AWS, Terraform
Designs and builds scalable AWS-based data platforms using Terraform, Kubernetes, and Databricks to support analytics and data-driven initiatives.
Lead Engineer/ Data Platform
Lead a cloud-native data platform team building scalable AWS and Databricks pipelines in Python to power enterprise analytics and real-time decision-making.
Lead Data Platform Engineer - Cloud-Native Analytics
Lead the design and delivery of a cloud-native data platform on AWS and Databricks, building scalable pipelines and mentoring teams to enable robust analytics and business solutions.
Senior Data Platform Engineer – Hybrid, Impact at Scale
Build and maintain the data platform that ensures reliable, accessible data for business decisions using Python, dbt, Databricks, Airflow, and Kubernetes.
Data Platform Engineer - Hybrid, Gdańsk, Azure Cloud
Builds and maintains Arla’s Azure-based data platform using Databricks, PySpark, SQL, and Terraform to power analytics and decision-making across the company.
Azure Data Platform Engineer @ Xebia sp. z o.o.
Design and migrate enterprise data platforms to Azure, Databricks, and Microsoft Fabric using Terraform, Kubernetes, and CI/CD pipelines while enforcing security, governance, and cost controls.
Lead Data Platform Engineer @ Xebia sp. z o.o.
Designs and builds internal developer tools, data pipelines, and AI workflows on GCP to automate and standardize data platform operations using Python, Airflow, and Vertex AI.
Senior Data Platform Enablement Engineer
Defines and enforces governance-as-code policies for enterprise data platforms like Snowflake, Databricks, and Cloudera to ensure security, compliance, and cost control across IQVIA’s healthcare analytics stack.
Machine Learning Engineer / Data Scientist
Build and deploy ML models in Snowflake and Azure to deliver forecasting, classification, and AI-driven automation for enterprise clients, primarily in Poland.
Senior Data Scientist Engineering Maps TTI (Maps) Lodz, Poland
Build AI-powered location intelligence models and APIs that turn TomTom’s map and traffic data into actionable insights for enterprises, governments, and partners.
Machine Learning Engineer / Data Scientist
Build and deploy ML models in Snowflake and Azure to deliver forecasting, classification, and AI-driven automation for enterprise clients, collaborating with data engineers and business stakeholders.
Databricks Data QA Engineer — Hybrid Finance Testing
QA engineer validating Databricks-based data pipelines for financial services, ensuring accuracy and compliance through SQL and Spark testing.
Data Platform Engineer (f/m/x)
Build and maintain scalable AWS-based data platforms using Terraform, Kubernetes, and Databricks for enterprise clients.
Junior Data Platform Engineer — Databricks & Azure
Builds and optimizes cloud data pipelines on Azure and Databricks for global brands, applying DataOps practices in an international team.
Software Engineer, Data Platform
Build and lead a multitenant data platform in AWS and Databricks, owning ingestion, storage, and access layers for internal and external data sources using Python, PySpark, and modern data tools.
Lead Data Platform Engineer — Python, AWS & Databricks
Lead the build and maintenance of a multitenant data platform using Python, AWS, and Databricks to power financial data ingestion and analytics.
Software Engineer, Data Infrastructure
Build and scale cloud-based data infrastructure at Asana, owning AWS/Databricks environments, ingestion pipelines, and internal tools to ensure reliable, timely data flow for analytics and reporting.
Data and MLOps Engineer
Build and maintain scalable data pipelines and MLOps infrastructure for industrial AI solutions in mining, energy, and infrastructure sectors, deploying models in cloud/edge environments.
Data and MLOps Engineer
Build and maintain scalable data pipelines and MLOps workflows for industrial AI solutions in mining, energy, and infrastructure, deploying models in cloud/edge environments.