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Senior Data Engineer - Hybrid/Remote with ML Analytics
Senior Data Engineer builds scalable data pipelines and ML analytics for chemical manufacturing, focusing on predictive maintenance, optimization, and real-time streaming using Python, SQL, and Kubernetes.
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) - Hybrid, Warsaw
Builds and maintains Spark/Scala pipelines for a new financing datahub, designs data processes, and ensures quality while collaborating with teams in Paris.
Senior Data Engineer – Spark & Hadoop | Hybrid Krakow
Build and maintain scalable data pipelines using PySpark/Scala, Hadoop, Airflow, and SQL in a DevOps environment, with hybrid work in Kraków.
Azure Databricks Data Engineer(Cracow/Wroclaw)
Designs and builds scalable HR data pipelines and warehouses using Azure Databricks, ADF, and Spark, automating employee lifecycle analytics with Python/Scala and SQL.
AWS Data Engineer – Cloud Data Lakes & Analytics (Hybrid)
Designs and builds cloud-native data pipelines and analytics solutions on AWS, using Python/Scala/Java and DevOps practices to process large datasets.
Senior Data Engineer (Azure | Databricks) @ 1dea
Build and optimize scalable data pipelines in Azure and Databricks, focusing on ETL workflows, real-time processing, and cloud migrations.
Senior Data Engineer (AWS & Snowflake) @ 1dea
Build and migrate cloud data pipelines using Snowflake, AWS (S3, Lambda, Glue/EMR) and real-time tools (Kafka/NiFi) to modernize ETL workflows for a climate-focused client.
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.
Senior Big Data Engineer — Remote & Flexible Hours
Build and optimize large-scale data processing systems in Java/Scala/Python to power high-performance advertising platforms.
Senior Big Data Engineer — Remote & Flexible Hours
Designs and builds large-scale data processing systems handling billions of requests daily using Java, Scala, or Python.
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.
Senior AI/Data Engineer (Snowflake, GenAI)
Build and operate Snowflake-based data platforms that power GenAI and advanced AI use cases at enterprise scale, integrating vector search, RAG, and agent workflows.
Senior Data Engineer On-Premises Data Platforms @ Jacobs
Design, build, and maintain enterprise-scale data pipelines in on-premises and hybrid environments, integrating data from databases, legacy systems, and APIs using SQL, Python, Spark, and ETL/ELT tools.
Data Engineer @ Mindbox Sp. z o.o.
Design and maintain scalable data pipelines and infrastructure, ensuring data integrity and enabling analytics across cloud platforms like AWS, GCP, or Azure.
Data Engineer with Databricks (Aviation Industry)
Build and maintain big-data pipelines for European air-traffic systems using Databricks, Spark, Kafka, and Oracle; ensure data quality and industrialize production environments.
Senior Data Engineer - Full remote - Contractor
Senior Data Engineer builds and maintains a cloud-based data platform using Azure, Databricks, and Synapse Analytics to ingest, transform, and deliver data for reporting and APIs.
Snowflake Data Engineer for Cloud & AI
Senior data engineer builds and maintains Snowflake pipelines, migrates on-prem data to the cloud, and optimizes models for performance and cost.
Remote Mid-Level Data Engineer: Azure/GCP, ETL Pipelines
Designs and builds cloud-based ETL pipelines and data infrastructure on Azure/GCP, working on migrations and modernizations for global clients.
Senior Snowflake Data Engineer—Transformation & Governance
Designs and maintains Snowflake transformation layers for risk model datasets using SQL, Snowpark, and Airflow, ensuring governance and scalable data pipelines.