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Senior Data Engineer designing and maintaining data/AI platforms on Microsoft Fabric, working on lakehouse architecture, data pipelines, data modeling, CI/CD, and MLOps in Poland.
Design and optimize Snowflake-based data solutions, build ETL/ELT data pipelines, and design schemas while collaborating with global teams. Core tech: Snowflake, SQL, data warehousing.
Data Architect / Senior Data Engineer designing and building a Central Data Platform on Azure using Databricks, dbt, Python/PySpark, and Terraform for a large insurance client project.
Data Engineer designing and maintaining scalable data pipelines with Scala, Java, and Apache Spark to modernize a backend data processing platform for an investment bank.
Senior Data Engineer at IBM Consulting designing ELT pipelines from Azure Blob Storage into Snowflake, building dbt models, and writing Python orchestration scripts to support AI use cases.
GCP Data Engineer consulting on strategic enterprise cloud projects—designing batch and streaming data pipelines, building BigQuery-based Data Lake/Warehouse environments, migrating data with Ab Initio, and automating infrastructure via CI/CD.
Senior GCP Data Engineer designing and optimizing data pipelines and maintaining Data Lake/Data Warehouse environments in BigQuery for enterprise cloud projects, working in a hybrid model in Warsaw.
Build and maintain reliable data pipelines, support data integration and transformation, and collaborate with senior engineers on technical delivery using Azure Data Factory, Azure Synapse, and Microsoft Fabric.
Build and own ELT pipelines end-to-end using Snowflake, dbt Cloud, Python, and Azure Blob Storage while collaborating with business stakeholders and delivery teams and exploring AI-enabled use cases with Snowflake Cortex.
Design scalable ETL/ELT pipelines and model data in Snowflake for a pharmaceutical client, collaborating cross-functionally using SQL, Python, Airflow, and dbt.
Design, build, and optimize scalable data processing platforms and ETL/ELT pipelines on Azure Databricks, collaborating with BI and Data Science teams in a hybrid office setup.
Senior ML Engineer leading end-to-end ML pipelines at Lipton Teas & Infusions, using Databricks and AzureML to build scalable ML services across computer vision, forecasting, and LLM-enabled workflows while mentoring the ML chapter.
Build and maintain data pipelines and QC dashboards for seismic and well data using Python and SQL, partnering with geophysicists to enable AI/ML workflows on subsurface and drilling data sources like Petrel and DISKOS.
Design and implement GenAI solutions on Google Cloud, building AI agents, integrating LLMs with backend systems, and optimizing prompts for business applications.
Designs data pipelines for subsurface and drilling data, builds data products on a unified platform, and translates seismic workflows into reusable data and AI/ML solutions in an Agile team.
Platform/Cloud Engineer supporting the Omics Workbench on GCP—standardizing data pipelines, diagnosing cloud issues, and contributing to AI/ML-assisted pipeline development for biopharmaceutical research.
Design scalable solutions on Akamai's Cloud Platform, build data pipelines, and develop real-time cybersecurity data platforms using Java/Scala/Python, Kafka, Spark, Akka, and various data stores.
Building a demand prediction system from scratch using GLM models for an entertainment market leader in Poland, working with multi-source data preparation and analysis using SQL, Python, Pandas, and NumPy.
Data Engineer building and optimizing data pipeline architecture for retail order and delivery data, working with Apache Spark, HDFS/S3, Airflow, and Hive/Kyuubi in a hybrid role based in Kraków.
Build data pipelines and data products for subsurface, seismic, and well data on Snowflake/Azure, develop QC dashboards, and enable AI/ML workflows on seismic data.
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