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Data Pre-Sales Solution Engineer
Pre-sales role leading technical discovery, demos, and POCs for a data lineage and migration platform serving regulated industries like finance, healthcare, and government.
GCP Data Governance Engineer - Customer Value and Digital Engagement Department @ T-Mobile Polska
Design and implement data governance processes in GCP to build a metadata catalog, lineage, and quality controls that power AI/LLM initiatives and improve customer experience.
Senior Data Governance Engineer (GCP) @ Square One Resources
Design and implement GCP-based data governance frameworks, metadata catalogs, and quality standards to ensure secure, discoverable, and reliable enterprise data for analytics and future AI adoption.
GCP Data Governance Engineer - Customer Value and Digital Engagement Department
Design and implement GCP-based data governance processes, metadata catalogs, and data quality standards to support AI/LLM initiatives and analytics modernization.
GCP Data Governance Engineer — Elevate Data Quality & CX
Designs and implements GCP data-governance standards, builds data catalogs, and defines data models and lineage to improve data quality and customer experience.
Senior GCP Data Governance Engineer (zdalnie)
Senior engineer designs and implements GCP-based data governance, metadata catalogs, and data quality processes for a Telco client migrating analytics to the cloud.
Big Data Engineer (Spark/Scala/Java)_WROCLAW OR KRAKOW
Build and maintain a scalable big-data platform on Azure Databricks using Spark, Scala, and Java, enabling teams to run analytics and regulatory workloads.
Data Engineer (Azure / Python / ETL) – Remote @ Square One Resources
Develop and maintain Python-based ETL/ELT pipelines in Azure, Databricks, and Snowflake to power analytics and modeling for a large-scale data platform.
ETL & Data Engineering Lead @ Mindbox Sp. z o.o.
Lead a team to design and deliver ETL/ELT pipelines for banking clients, using GCP, Oracle, Python, Spark and tools like Informatica, while enforcing data governance and cloud-native best practices.
Senior Data Engineer - Full remote (F/M)
Senior Data Engineer builds and maintains Snowflake-based ETL/ELT pipelines, data models, and REST APIs to consolidate finance data for forecasting and reporting in a regulated biotech environment.
Data Engineer z GCP (f/m/x)
Build and maintain scalable data pipelines on Google Cloud Platform, focusing on BigQuery, Airflow, and Terraform to process and transform large datasets for analytics and ML.
Junior Mid-Level Machine Learning Data Engineer
Build and maintain data pipelines and infrastructure for AI solutions, working with Spark, Python, and LLMs to support machine learning models and predictive analytics.
Senior Big Data Engineer (Spark/Scala/Java)
Build and maintain a cloud-based big-data platform (Spark/Scala/Java) on Azure Databricks for valuation and risk analytics in a global finance team.
Senior Big Data Engineer (Spark/Scala/Java)
Build and maintain the ACQA big-data platform on Azure Databricks using Spark, Scala, Java, and Kubernetes to support valuation and risk systems for finance teams.
Big Data Engineer (Spark/Scala/Java)
Builds and maintains scalable big-data pipelines on Azure Databricks and Apache Spark using Scala/Java, deploys them via CI/CD and Kubernetes, and ensures platform reliability.
Big Data Engineer (Spark/Scala/Java)
Build and maintain a big-data platform on Azure Databricks using Spark, Scala, and Java to support valuation and risk services for a financial-insurance platform.
Data Engineer z GCP (f/m/x)
Build and maintain scalable GCP-based data pipelines, optimize BigQuery warehouses, and orchestrate workflows with Airflow/Terraform for analytics teams.
Data Engineer - Large Language Models
Builds and maintains scalable data pipelines for large language models in healthcare, transforming medical datasets and enabling model training/evaluation on Snowflake and AWS.
Data Engineer (Azure Data Platform) + Informatica
Designs and migrates enterprise data pipelines using Informatica and Microsoft Azure tools, blending ETL/ELT with cloud analytics and AI services.
Data Engineer (Azure Data Platform) + Informatica
Design and build ETL/ELT pipelines using Informatica and Microsoft Azure tools, migrating enterprise data to cloud-based Microsoft Fabric and integrating AI services like Azure OpenAI.