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Designs scalable data architectures and real-time pipelines to support intelligence operations, ensuring data integrity and quality for government services.
Designs and builds automated testing systems to validate AI data pipelines and ensure reliability in data generation processes.
Builds and optimizes BI data models, ETL pipelines, and dashboards in Power BI, Qlik Sense, and Snowflake for a European manufacturing company.
Designs and builds cloud-native data pipelines and ML-ready platforms for a consultancy serving UK and EU clients.
Lead a team building and scaling Python-based data pipelines and models for regulatory reporting in finance, using Spark, Databricks, and Azure to process large volumes of data in batch and stream modes.
Build and deploy ML models on Azure Databricks to analyze engineering, supply chain, and marketing data, turning insights into productivity gains for a climate-tech company.
Build and optimize cloud-based data platforms using Databricks, SQL, Python, and cloud data warehouses to enable data-driven decisions for global clients.
Build and automate predictive models, ETL pipelines, and monitoring systems using Python, Databricks, and Azure to power AI-driven marketing analytics and campaign optimization.
Senior Data Engineer builds scalable data pipelines and AI tools using Databricks, PySpark, and Azure Data Factory to process batch and streaming data.
Senior data engineer builds and optimizes ETL pipelines and data warehousing solutions for Credit and ESG systems using SQL, Informatica PowerCenter, and Oracle.
Designs and builds scalable AWS-based data pipelines using PySpark and AWS Glue to process and transform business data into reliable cloud architectures.
Junior role assisting in building and maintaining a modern cloud-based data platform, working with SQL, scripting, and DataOps practices under mentorship.
Design and maintain Azure-based security data pipelines, ETL processes, and analytics platforms to centralize and secure enterprise data across multi-cloud environments.
Build and optimize scalable HR data pipelines on Azure Databricks using Spark, SQL, and DevOps practices to power analytics and employee-facing products.
Build and own the data backbone for a headless ecommerce SaaS platform, transforming raw transactional data into scalable pipelines and APIs that power real-time dashboards for 300+ fashion brands.
Build enterprise-grade AI solutions using data pipelines, cloud platforms, and agent-based systems with LLMs and Vertex AI to deliver scalable, data-driven AI for clients.
Leads a team to build and maintain AI/ML data pipelines and architectures using Spark, Python, and Azure for a Warsaw-based product company.
Design and maintain high-scale data pipelines processing billions of ad events daily, modernize legacy systems into cloud-native lakehouse architectures, and ensure low-latency, privacy-compliant data delivery for monetization and decisioning.
Senior Data Engineer to migrate Airflow workflows to Azure Data Factory and build data pipelines for Power BI reporting solutions.
Leads large-scale data migration projects, designs ETL pipelines, and ensures seamless transitions between systems using Informatica, RDBMS, AWS, and Java.
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