Tech jobs
Job listings
Data Engineering Lead/ Tech Lead (Snowflake)
Leads the design and delivery of large-scale data solutions using Snowflake, DBT, and Data Vault 2.0, defining enterprise architectures for analytics and AI initiatives.
Senior Data Engineer - Rating & Limit Management
Senior Data Engineer builds and maintains data pipelines and models for corporate credit limit management in a bank, using Snowflake, dbt, and Airflow.
Senior Product Analytics Data Engineer (Hybrid)
Builds and improves data pipelines and models to power Zendesk’s product analytics, enabling data-driven decisions and product adoption.
Senior Data Engineer (f/m/d)
Senior Data Engineer builds and maintains Azure Databricks pipelines and data models to power financial decision-making for Siemens Energy’s global wind projects.
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.
Snowflake Data Engineering Lead - Platform & Automation
Lead a team of Snowflake Data Engineers to build and automate the Financial Data Hub platform, ensuring secure CI/CD pipelines and architectural alignment in a hybrid setup.
Senior Data Engineer — Snowflake, Data Vault & Cloud Automation
Senior Data Engineer builds and optimizes cloud data pipelines, implements Data Vault models, and manages Snowflake RBAC for a retail client using Snowflake, Python, DBT, and Azure/AWS.
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.
AI Data Engineer (Snowflake + AI)
Build AI-driven data workflows in Snowflake: integrate LLMs via Cortex, design RAG pipelines, and ship agentic tooling for engineers and business users in a regulated bank.
Databricks Data Engineer (ICH Europe)
Build and maintain scalable data pipelines and Lakehouse models on Databricks, using PySpark, Delta Lake, and Medallion architecture to deliver analytics-ready datasets for enterprise clients.
Expert Data Engineer (Snowflake, DBT)
Build and maintain a modern data platform for a Nordic bank using Snowflake and DBT, delivering trusted data for AI-driven customer-facing solutions.
Senior Data Engineer @ STX Next
Design and build scalable data pipelines and warehouses for global clients using Python, SQL, AWS/Azure, Snowflake, and dbt.
Senior Data Engineer @ SD Solutions
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines, data models, and automated compliance systems for a fintech POS-financing platform using Snowflake, Airflow, dbt, and AWS.
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.
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.
Azure Data Engineer with Databricks (AI&Data)
Build and maintain scalable Azure data pipelines and lakehouse solutions using Databricks, PySpark, and Azure Data Factory to process and transform large datasets for enterprise clients.
Azure Data Engineer with Databricks (AI&Data)
Build and maintain scalable Azure data pipelines and Databricks lakehouse solutions, transforming raw data into analytics-ready assets while collaborating with cross-functional teams.
Senior Data Engineer - Snowflake | Remote/Hybrid
Senior Data Engineer builds scalable Snowflake-based data platforms, designs ETL pipelines, and models large datasets for analytics in a hybrid Poland role.
Senior Data Engineer | Hybrid, Databricks & Data Platform
Design and maintain data architectures, ETL pipelines, data warehouses, and data lakes using Databricks, Snowflake, Python, and SQL for Erste Bank Polska’s analytics solutions.
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.