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IT Security Architect
Design and implement secure cloud architectures on AWS and Azure, embedding with teams to build hardened solutions including AI-driven workloads and Databricks environments.
Senior Data Engineer
The Senior Data Engineer will design and maintain the company's data platform, focusing on end-to-end data pipelines and integrating AI-driven context management. The role involves building scalable, reliable data solutions using modern cloud technologies like Snowflake, Python, and streaming tools.
Senior Financial Analyst
Financial Analyst at Databricks builds financial models, analyzes SaaS business metrics, and advises sales leadership to optimize growth and forecasting.
Lead Software Engineer/ Tech Lead
Lead software engineer designs and builds enterprise solutions across cloud and hybrid environments, mentors teams, and delivers secure, scalable systems using .NET, Azure, React/Angular, and DevOps practices.
Senior Consultant - Data Engineering
Lead data engineering for a consultancy, designing Azure/Databricks pipelines and lakehouse architectures, mentoring teams, and owning pre-sales technical responses while delivering Power BI solutions.
Azure ML Engineer
Designs, deploys, and operates scalable ML pipelines on Azure and Databricks, focusing on cost-efficient, maintainable, and secure AI solutions for an edtech organization.
Revenue Operations Data Analyst
Revenue Operations Data Analyst owning data quality and governance across Salesforce while building scalable BI dashboards (Power BI/Tableau) to deliver pipeline, forecasting, and revenue insights to Sales, CS, Finance, and executive stakeholders.
Solution Architect - AI
Designs and leads AI/ML solutions for an energy client using Microsoft AI Foundry, Azure AI, and Databricks, translating business needs into scalable, secure architectures and guiding implementation from data to deployment.
Python Data Engineer - Spark/Delta Lake, Azure, Onsite
RevTech is hiring a Python Data Engineer to work on a global financial services project in Poland. The role involves building streaming and batch data pipelines using Python, Spark, Databricks, and Azure in an onsite capacity.
Senior Azure Databricks Data Engineer, Cloud Lakehouse Lead
The Senior Data Engineer will design and optimize enterprise data platforms using Azure Databricks, PySpark, Python, and SQL. The role focuses on building scalable data pipelines and cloud-based ecosystems while implementing CI/CD practices via Azure DevOps.
Inżynier Danych – Specjalista Data Engineering (Hybrid)
The Data Engineer will design data architecture, manage ETL processes, and integrate data from various sources within the banking environment using Databricks, Snowflake, SQL, and Python.
Python Data Engineer
The Python Data Engineer will design and build data pipelines for a financial services project using Python, Spark, Databricks, and Azure. This is a contract role requiring onsite presence in Poland.
Senior AI Platform Engineer
Build foundational platform infrastructure for production-grade AI applications, working with LLMs, RAG, AI agents, vector search, and modern data platforms (Snowflake, Databricks) using Python and SQL, based in South Africa.
Data Engineer
This Data Engineer role involves designing and maintaining scalable data pipelines and models for a healthcare-focused SaaS company. The position requires proficiency in Python, PySpark, and SQL to support internal reporting and product development in a remote-first environment.
Manager, Data Platform Governance & Operations
Leads enterprise data governance and platform operations for Snowflake/AWS, shaping strategy, security, compliance, and cost management while mentoring a technical team to enable self-service data access and AI/ML governance.
Azure Could Platform Infrastructure Engineer
Designs and implements enterprise-grade Azure cloud infrastructure for data, analytics, and AI workloads using Terraform and Azure DevOps, ensuring scalability, security, and automation.
Senior Data Scientist
The Senior Data Scientist will develop trading analytical models and machine learning solutions to provide business insights. The role involves building prototypes, managing data quality, and mentoring junior team members.