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Senior Data Engineer (m/f)
Senior Data Engineer builds and maintains data pipelines, ETL/ELT processes, and real-time monitoring systems using Python, SQL, Databricks, and Spark, while also developing full-stack web apps with React/Angular and DevOps tooling.
Data Engineer III @ Box Inc.
Build and maintain scalable data pipelines on GCP to power analytics and AI features for Box’s content-management platform, using BigQuery, Spark, and Python.
Data Engineer (Databricks) @ Ework Group
Design and build scalable data pipelines using Databricks, Python, and cloud tools to process large datasets for analytics and reporting.
Senior Data Engineer @ DS STREAM
Build and scale a cloud-based Data Hub using Azure Databricks, PySpark, and Medallion Architecture to integrate, process, and stream large data volumes for enterprise clients.
Data Engineer: Spark, Scala & Data Lakes (Hybrid)
Designs and maintains scalable data pipelines using Apache Spark and Scala for a global consulting firm, focusing on ETL workflows and big-data infrastructure.
Data Engineer Technical Leader (Relocation to Poland)
Lead a team to design and build scalable data pipelines and platforms using Spark/Scala, Airflow, and cloud tools, while mentoring engineers and ensuring regulatory compliance.
Data Engineer (get the Palantir skill)
Build and maintain Palantir Foundry data pipelines and applications to power enterprise decision-making, using Python, SQL, and Spark.
Big Data Engineer (junior/mid)
Build and optimize data pipelines using Spark, Hadoop, and Scala to detect fraud and financial crime for a global bank.
Data Engineer (Krakow/Wroclaw/Warsaw, Poland)
Build and maintain data pipelines and distributed systems in Python, using Spark, Databricks, and Snowflake to deliver AI and analytics solutions for clients.
Senior Data Engineer (Hadoop, Spark)
Build and maintain scalable data pipelines using PySpark, Hadoop, and Airflow in a hybrid Agile environment, collaborating with analysts and engineers to deliver high-performance ETL solutions.
Senior Data Engineer: Big Data & Cloud Analytics
Builds and optimizes big-data pipelines using Spark, Azure, and Databricks to deliver analytics and dashboards in Power BI for a global product team.
Senior Data Engineer: Big Data, Search & Analytics
Build and optimize large-scale data pipelines and search systems using SQL, Python/Scala, and Spark to power analytics and discovery workflows.
Big Data Engineer (junior/mid)
Build and maintain big-data pipelines (Spark, Hadoop, Elasticsearch) to detect fraud and financial crime for a global bank, using Scala and Java/C#.
Senior Data Engineer (AI) — Remote ML Infra & Pipelines
Build and own scalable AI/ML data pipelines and real-time streaming systems using Python, Spark, Airflow, Kafka, and cloud services like SageMaker and Snowflake.
Big Data Engineer - junior/mid
Build and maintain big-data pipelines using Spark, Hadoop, and Scala to detect fraud and financial crime for a global bank serving 36M customers.
Big Data Engineer with Java
Design and build scalable data ingestion pipelines and microservices using Java, Spark, and Spring Boot, while maintaining big data infrastructure on Cloudera and GCP.
Senior Data Engineer On-Premises Data Platforms
Design and build enterprise-scale on-premises and hybrid data pipelines, ETL/ELT processes, and data warehouses using SQL, Spark, Hadoop, and orchestration tools.
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.
Data Engineer — Remote & Flexible Hours
Build and maintain ETL pipelines and data workflows using AWS and Spark to feed predictive models and BI dashboards in an Agile environment.