Solid
Open positions
Senior Data Engineer: Spark/Databricks, Kafka, Azure
Senior Data Engineer at Solid building and optimizing distributed transactional data pipelines in Spark, Databricks, and PySpark, with Kafka integration and Azure Cloud. Requires fluent Java and Python, plus Kubernetes and CI/CD experience in an Agile environment with Level 3 production support.
Senior Data Engineer – AI Pipelines (Azure/Databricks)
Solid is hiring a Senior Data Engineer (hybrid, Wrocław/Kraków) to design and build streaming and batch data pipelines with high-throughput architecture on Azure, and to integrate AI tools into the SDLC. Core stack: Databricks, Python, Spark, Delta Lake, DLT, GitLab, Unix/Linux and shell scripting.
Senior Data Engineer/ Tech Lead
Senior Data Engineer / Tech Lead placed at a banking client in Wrocław (hybrid, 3 days/week on-site) on a B2B contract. Designs scalable batch and streaming data pipelines and low-latency architectures using Databricks, Spark, Delta Lake, Python and Azure, automates tests and CI/CD in GitLab, and provides technical leadership.
Data Engineer
A senior Data Engineer in Wrocław designs high-performance, low-latency distributed transactional systems and builds streaming data pipelines with Spark, Databricks, PySpark, and Kafka, deployed on Azure Cloud with Kubernetes, plus CI/CD automation, Agile teamwork, and Level 3 production support.