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Junior ML Engineer supporting the Data & AI team at a global tea company, building computer vision, forecasting, classification, and LLM workflows using Python, Databricks, and Azure.
Build and scale data infrastructure—including Kubernetes compute fleets, storage systems, and end-to-end data pipelines—for massive AI model training and fine-tuning workloads across on-premise and cloud environments.
Data Engineer building and maintaining data pipelines and products for subsurface and drilling data (seismic, well data) using Python, SQL, Snowflake, and Azure, with QC dashboards and AI/ML integration.
Design, build, and maintain ING's Data Analytics Platform on Google Cloud, developing infrastructure automation services using Golang and Terraform within a multinational team.
Mid/senior Data Platform Engineer designing and maintaining batch and streaming data pipelines across raw, cleaned, and curated layers using Python, DBT, Dagster, and containerization in a Warsaw-based team.
Senior Data Solutions Engineer blending business analysis with IT solution design—integrating data from legacy and modern systems into scalable data infrastructure to support analytics, automation, and AI-based solutions in a hybrid, international setting.
Build and maintain a cloud-based data platform across AWS and GCP for a fintech scale-up, including data lakes, warehouses, orchestration, and MLOps infrastructure using Terraform, Python, Airflow, dbt, and BigQuery.
Data Platform Engineer at Sii Poland building scalable data lakes and warehouses across AWS and GCP, implementing CI/CD pipelines, and ensuring data governance while collaborating with Data Engineers, Scientists, and Analysts.
GCP Platform Engineer building and maintaining a data analytics platform on Google Cloud using Terraform, Cloud Run, Vertex AI, GKE, BigQuery, and Dataproc, with monitoring, alerting, and on-call duties in Katowice.
ML Engineer building scalable data pipelines and GenAI/Agentic AI solutions on Databricks Lakehouse using PySpark, MLflow, and Python AI frameworks for consulting clients across Europe.
Connectis poszukuje doświadczonego Integration Engineer, by utrzymywać i rozwijać centralną platformę integracji danych w chmurze publicznej. Łączymy aplikacje, usługi i strumienie danych w czasie rzeczywistym i…
BI specialist designing Power BI reports, building DAX models, and working with SQL and Power Query to deliver clear analytics for managers and stakeholders.
Senior Data Platform Engineer owning end-to-end data pipelines—from ingestion to dashboards—using Databricks, SQL, and cloud technologies while shaping the data model and collaborating cross-functionally.
Data Engineer building pipelines and data products for subsurface and drilling data (seismic, wells) using Python, SQL, Snowflake, and Azure, with some AI/ML integration on a multi-discipline platform team.
Hybrid Junior Data Engineer designing and maintaining ETL processes, analyzing data, and ensuring data quality for LPP SA's in-house tech unit, using SQL, SSIS, and Python (NumPy, Pandas, FastAPI) alongside data warehouses.
Senior Data Solutions Engineer designing scalable data integration layers, pipelines, and data warehouses using Databricks, Microsoft Fabric, Snowflake, Python, and SQL for a consulting firm serving compensation platform clients.
Works with Snowflake, dbt, Airflow, and Azure Data on ELT/ETL pipelines while also supporting test automation, improving test execution speed, and migrating pipelines to GitHub Actions with AI-assisted tooling.
Mid/senior Data Platform Engineer designing and maintaining ETL/ELT data pipelines for a tech company building digital infrastructure for public health and food security in Sub-Saharan Africa, working hybrid from Warsaw.
GCP Data Engineer (hybrid, Warsaw) designing and maintaining ETL/ELT pipelines, streaming solutions, and data warehouse models using BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Python for T-Mobile's data transformation program.
Leads design, development and deployment of Power BI solutions with advanced analytics and dashboards, crafting data models, optimizing performance, and managing ETL/batch/real-time pipelines using Azure Synapse and ADLS.
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