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Public Relations Manager / Sr. Manager AI's ambitions keep outpacing the infrastructure and economics underneath it. WEKA exists to close that gap. The WEKA® NeuralMesh™ software platform gives enterprises, AI…
Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than…
Senior Data Engineer role centered on designing, building and optimizing Azure Databricks Lakehouse solutions — batch and streaming pipelines with Spark, PySpark, SQL and Delta Lake, following Medallion Architecture in the Azure ecosystem. The Databricks Certified Data Engineer Professional certification is mandatory.
Mid-level fullstack engineer on Guidewire's Pricing and Rating team, building and maintaining an insurance pricing platform (models, pricing algorithms, visualizations) with Python 3.13 (FastAPI, SQLAlchemy, Celery), React 19/TypeScript on the frontend, and AWS/Kubernetes infrastructure. Primarily remote from Kraków with flexible hours and occasional in-person meetings.
ALM Services Technology Group is hiring a Senior Software Engineer in Wrocław to lead and build a production platform that collects, matches, enriches, and delivers profile/entity and content data. The role is hands-on: shaping architecture while coding in Python across data pipelines, matching (rules, fuzzy, graph, embeddings), LLM enrichment, Airflow, PostgreSQL and Snowflake.
Senior Snowflake data architect at Spyrosoft in Wrocław who designs secure, scalable Snowflake-on-Azure data platforms for energy and e-mobility products. Day to day: defining security and governance standards, data modeling, infrastructure as code (Terraform/Bicep), and leading architecture, threat-modelling and platform security reviews.
Senior Python engineer on Guidewire's Pricing and Rating team, building and maintaining an insurance pricing platform — REST APIs with FastAPI/Flask/SQLAlchemy/Pydantic, data work with NumPy/pandas/Polars, deployed on AWS/Azure with Kubernetes. Primarily remote from Poland with flexible hours and occasional in-person meetings.
At Capgemini’s Insights & Data practice, we help organizations unlock the value of data, analytics, and modern technologies to make better business decisions. We deliver projects for global clients across various…
Data Reply (part of Reply group) is hiring a Data Science Engineer in Katowice to explore large datasets, build statistical/feature-engineering workflows, and develop and maintain ETL data pipelines on AWS (S3, Glue, Athena, Redshift, SageMaker, EMR). Hybrid: monthly Katowice office visit plus travel to a client in Lisbon.
Data-focused software engineer at software house Acaisoft, building scalable data pipelines and datasets on Spark/Databricks (Delta Lake, CDC ingestion from Oracle/PostgreSQL/MongoDB) for a US BioPharma client, powering AI discoverability, analytics, and reporting. Team works until 6:00 PM CEST due to the client's location.
Senior SRE for a global cloud/content-delivery client's data platform: keeps a massive telemetry pipeline collecting data from hundreds of thousands of servers reliable, working with large-scale NoSQL databases (Cassandra, MongoDB), building observability with Prometheus/Grafana, and writing automation in Python, Go, or Java.
Mid-level software engineer building a production platform that collects, matches, and enriches profile, entity, and content data for a med-tech analytics client. Day to day: Python data-integration/ETL pipelines, LLM-powered enrichment and embeddings-based matching, PostgreSQL/Snowflake, Airflow orchestration, REST API integrations, plus some full-stack Node.js/React work.
Big Data Engineer building large-scale data processing pipelines with Scala and Apache Spark for a high-performance finance/stock-exchange data platform, enabling real-time analytics and reporting. Works with Hadoop, Kafka, SQL/NoSQL databases, cloud platforms, and Docker/Kubernetes in an Agile environment.
Data Engineer at Tesco Technology in Kraków who builds and optimizes data pipeline architecture for customer order, delivery, and supplier data supporting retail fulfillment. Day-to-day involves large-scale data processing with Apache Spark (Scala/Python), HDFS/CEPH S3 storage, Yarn, Hive/Kyuubi lakehouse, and Airflow scheduling, working in a hybrid model (3 days/week in the office).
Data Engineer maintaining and evolving a Microsoft Fabric platform: managing data pipelines, improving architecture, and building bronze/silver/gold medallion data models using Python (PySpark), Data Factory, and ETL/ELT. Based in Gdańsk with a hybrid working model.
Senior AWS Data Engineer in Poznań who designs and builds data ingestion pipelines from Amazon SP-API/Data Kiosk and SAP sources, develops ETL with AWS Glue, and maintains DataOps quality gates. Requires an AWS Certified Data Engineer-Associate and professional-level English.
Builds and maintains scalable data pipelines on Google Cloud, supporting a client's migration to BigQuery — developing ingestion and transformation frameworks, orchestrating and monitoring workloads with Airflow, and delivering production-grade data products using Python, SQL, and dbt.
Link Group is hiring a Data Engineer to design, build, and maintain scalable cloud data pipelines and infrastructure on AWS, GCP, or Azure, enabling real-time analytics for finance/stock-exchange industry clients. Core stack includes Python/SQL/Java/Scala, Spark/Kafka/Hadoop, Snowflake/BigQuery/Redshift, Terraform, and Docker/Kubernetes.
Junior Data Engineer at Falck's Data, Insights & AI department, building and maintaining end-to-end data pipelines and data models with Databricks, PySpark, Python, and SQL to support corporate Group Functions. The role includes deploying via CI/CD to Azure and contributing to AI solutions for a global healthcare and emergency-services organisation.
A junior/mid-level Data Engineer at Falck designs, builds, and maintains end-to-end data pipelines and data models on Azure, Databricks, PySpark, Python, and SQL to support ambulance operations in Europe and the US, while helping integrate operational data sources and contributing to AI use cases.
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