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Senior Data Engineer — Scalable ETL & Data Platforms
Designs and maintains scalable ETL pipelines and data platforms to ensure reliable, high-quality data for analytics and business insights in a life insurance company.
Data Engineer - Global Equity Data & Quant Platforms
Builds and maintains global equity datasets for quantitative research, mapping tickers and validating data across markets using Python, SQL, and financial data APIs.
Data Engineer - 12 months agency contract
Design and build scalable cloud data pipelines and AI/ML models on AWS, Azure, and Databricks to turn healthcare data into actionable insights for clinicians and policymakers.
AI Solution Architect
Design and deliver AI architectures for clients, focusing on RAG pipelines, agentic workflows, and LLM integrations using Python, cloud AI platforms, and vector databases.
Senior Machine Learning Engineer
Build and operate large-scale ML pipelines that turn raw data into trusted business intelligence using Python, Spark, and cloud platforms like Azure and Databricks.
Senior Specialist, Data Scientist
Design and deploy AI/ML models and MLOps pipelines to improve healthcare and insurance outcomes, collaborating with cross-functional teams and ensuring responsible AI practices.
Data Engineer, Big Data (8-months contract)
Design and build scalable data pipelines and ETL workflows using Python, Spark, and SQL to power analytics and ML at a global tech platform.
AI Data Platform PM: Scale Pipelines & Governance
Own TikTok’s AI data annotation platform’s infrastructure, defining pipelines and governance to scale labeling operations while ensuring data quality and compliance.
Junior/Senior Data Engineer - Permanent Role
Designs and maintains scalable data pipelines, ETL processes, and warehouses to collect, process, and analyze financial data in real-time and batch modes using tools like Informatica, Spark, and Python.
Senior/Data Engineer
Build and maintain scalable ETL/ELT pipelines and data warehouses using Python, SQL, and cloud platforms to power analytics and AI products.
Data Engineer
Design and maintain scalable data architectures, ETL pipelines, and data lakes for a national library system using AWS, SQL, Python, and Airflow.
Information Technology Consultant (Data Engineer (Cloudera to AWS Migration)
Design and migrate data pipelines from Cloudera/Hadoop to AWS using Python, PySpark, and AWS services like S3, Glue, EMR, and Redshift to support analytics and reporting.
Senior Specialist, Data Engineer, BSF
Design and maintain scalable data pipelines using Microsoft Fabric, Power BI, and ELT/ETL processes to integrate SAP, Salesforce, and SQL data for enterprise analytics and reporting.
Remote Data Analyst & Modeler — Warehousing & Governance
Builds and maintains enterprise data models, warehouses, and governance processes to ensure data quality and consistency for business needs.
Expert Data Engineer Microsoft SQL Server, T-SQL, ETL, Git Warszawa, Gdańsk
Build and maintain ETL pipelines and data warehouses using Microsoft SQL Server, T-SQL, SSIS, and Snowflake; optimize queries and automate jobs.
Senior AWS Data Engineer - DataOps, SAP & ETL Lead
Designs and maintains AWS-based data pipelines for SAP integration and ETL workflows using AWS Glue, ensuring data quality with DataOps practices.
Senior Data Engineer - T-SQL, SSIS & Snowflake ETL
Designs and maintains ETL pipelines with SSIS and T-SQL, manages Snowflake cloud data platform deployments, and ensures data quality and query performance.
GCP Analytics Engineer: Data Modeling & BigQuery Pipelines
Designs and maintains dbt/Dataform data models on BigQuery, builds analytical datasets, and migrates pipelines from other cloud platforms to GCP.
Middle Data Engineer (Azure Databricks)
Designs and builds cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and BI, integrating with SQL Server and Azure Data Factory.
Analytics / Data Engineer (AWS Certified)
Designs and maintains AWS-based data pipelines and dimensional models to power business analytics and reporting for enterprise clients.