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Data Engineer - CI/CD Engineer (Snowflake)
Builds and maintains CI/CD pipelines for data workflows in Snowflake, automating deployments with Python and Kubernetes to streamline developer workflows.
Senior Data Engineer — ETL & Big Data for Compliance
Designs and maintains ETL pipelines for market abuse surveillance and compliance using DataStage, Python, Oracle SQL, and Kafka.
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.
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.
Cloud Data Engineer (AWS) @ Reply Polska
Designs and maintains AWS-based data pipelines using PySpark and AWS Glue to process large-scale datasets for clients in German HDAX industries.
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 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.
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.
Junior Data Engineer — Python, Big Data, Hybrid
Builds and maintains large-scale data pipelines using Hive, Spark, and Kafka for end-to-end data solutions in a global team.
Senior Data Engineer (Java) @ GFT Poland
Build and maintain Java/Spring Boot microservices and data pipelines for a cloud-based risk data platform handling large-scale market data processing and analytics.
System & Data Engineer (Linux / SQL Area)
Maintains and develops Linux/Windows servers, databases, and real-time data pipelines using SQL, PostgreSQL, Kafka, and Flink to support HR analytics and IoT integrations.
Cloud Data Engineer (m/f/d)
Build and operate cloud data pipelines and services using Google Cloud, Python, and Terraform to deliver scalable data products and KPIs for a fintech loyalty platform.
Databricks Data Engineer – GenAI & Lakehouse Innovator
Build and maintain scalable data pipelines and Lakehouse architectures using Databricks, PySpark, and Delta Lake to power analytics and GenAI solutions for enterprise clients.
Akamai Technologies Senior II Backend / Big Data Engineer
Designs and builds scalable big-data pipelines and microservices on Akamai’s cloud platform, using Java/Scala/Python, Spark/Flink, Kafka, and storage systems like Postgres and Delta Lake.
Senior Data Engineer (M/F/D)
Design and build scalable Lakehouse architectures (Bronze/Silver/Gold) using Databricks and Delta Lake to transform logistics data into BI insights, optimizing ETL/ELT pipelines with PySpark and Azure/AWS/GCP services.
Cloud Data Engineer (m/f/d)
Build and operate cloud data pipelines and KPIs using Python, Google Cloud, and Terraform in a fintech loyalty platform.
Senior Data Architect/Data Engineer @ Devire
Design and optimize large-scale data pipelines and real-time analytics platforms using Apache Druid, Kafka, and SQL for a B2B IT outsourcing client.
Staff Data Engineer @ Schibsted & Vend Polska
Design and review event-driven data pipelines, Kafka topics, CDC patterns, and streaming/batch integrations to ensure reliable, scalable data products for a large marketplace ecosystem.
Senior Data Engineer (Fulfillment) @ Tesco Technology
Build and optimize large-scale data pipelines for retail fulfillment, using Spark, Hive, Airflow, and cloud storage to ensure reliable order and delivery data flows.
Senior Data Engineer (Databricks) @ Spyrosoft
Build and optimize scalable ETL/ELT pipelines on Databricks, processing large datasets with PySpark and Delta Lake for modern data platforms.