Data Platform Engineer

We’re looking for a Data Platform Engineer to join one of our Data Platform teams. You’ll design, build, and maintain modern enterprise data platforms that enable scalable data integration, analytics, and AI solutions. You’ll work closely with Data Engineers, Data Scientists, BI Developers, Solution Architects, and DevOps teams to deliver secure, reliable, and high-performing data platform capabilities across cloud and hybrid environments.

𝗗𝗮𝘁𝗮 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 & 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗱𝗲𝘀𝗶𝗴𝗻

• Design, implement, and maintain enterprise data platform solutions supporting analytics, reporting, and AI workloads.

• Collaborate with Solution Architects and technical teams to define scalable platform architectures.

• Evaluate and recommend platform technologies, services, and best practices.

• Design secure, resilient, and scalable data platform environments.

• Produce and maintain technical documentation, architecture diagrams, and operational procedures.

• Contribute to platform modernization initiatives and cloud migration projects.

𝗗𝗮𝘁𝗮 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 & 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲

• Deploy, configure, and maintain cloud-based and hybrid data platform services.

• Manage platform resources to ensure availability, scalability, and performance.

• Support storage, compute, networking, and security configurations for enterprise data platforms.

• Implement Infrastructure as Code (IaC) to automate platform provisioning and configuration.

• Optimize platform performance, resource utilization, and operational costs.

• Collaborate with infrastructure and cloud teams to maintain stable environments.

𝗗𝗮𝘁𝗮 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗱𝗮𝘁𝗮 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀

• Enable reliable data ingestion, storage, processing, and distribution across enterprise platforms.

• Support Data Engineering teams by providing scalable platform capabilities and integration services.

• Configure and optimize data processing environments for ETL/ELT workloads.

• Ensure platform services support high-performance analytics and reporting solutions.

• Collaborate on platform integration with enterprise applications and cloud services.

• Support adoption of modern data architecture patterns.

𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 & 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀

• Monitor platform health, availability, and performance.

• Implement monitoring, alerting, logging, and operational dashboards.

• Investigate platform incidents and perform root cause analysis.

• Support backup, disaster recovery, and business continuity processes.

• Implement security, access control, and compliance standards across the platform.

• Drive continuous improvement of platform reliability and operational excellence.

𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗗𝗲𝘃𝗢𝗽𝘀

• Develop and maintain CI/CD pipelines for platform services and infrastructure.

• Automate platform deployment, configuration, and operational processes.

• Implement Infrastructure as Code using modern automation tools.

• Collaborate with DevOps teams to improve deployment consistency and release quality.

• Support version control, environment management, and release automation.

• Promote automation and platform engineering best practices.

Work model

Hybrid and remote-friendly. We trust you to deliver, wherever you work best from.

𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀

𝗠𝘂𝘀𝘁-𝗵𝗮𝘃𝗲

• University degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field.

• 4+ years of experience in Data Platform Engineering, Cloud Engineering, Data Engineering, or Infrastructure Engineering.

• Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.

• Good understanding of modern data platform architectures and cloud-native services.

• Experience with Infrastructure as Code (Terraform, Bicep, ARM, or similar).

• Experience with CI/CD pipelines and Git-based development.

• Knowledge of SQL and enterprise database technologies.

• Strong analytical, troubleshooting, and problem-solving skills.

• Excellent communication and collaboration abilities.

𝗡𝗶𝗰𝗲 𝘁𝗼 𝗵𝗮𝘃𝗲

• Experience with Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Databricks, Snowflake, or Microsoft SQL Server.

• Experience with Docker, Kubernetes, and containerized workloads.

• Familiarity with monitoring tools such as Azure Monitor, Grafana, Prometheus, or Splunk.

• Experience supporting AI and Machine Learning platforms.

• Experience in Banking, Retail, Insurance, or Telco industries.

• Microsoft Azure, Kubernetes, Terraform, Snowflake, or Databricks certifications.

𝗛𝗼𝘄 𝘆𝗼𝘂 𝘄𝗼𝗿𝗸

• Passionate about building modern, scalable, and reliable data platforms.

• Strong ownership and attention to detail.

• Proactive in driving automation and continuous improvement.

• Comfortable collaborating with cross-functional technical teams.

• Focused on operational excellence, security, and platform performance.

• Committed to delivering enterprise-grade data solutions.

𝗪𝗵𝗼 𝘄𝗲 𝗮𝗿𝗲

IDS Consulting — a team of data people who genuinely love what they do. For 14+ years, we’ve been the go-to consultants for BI and Data Warehousing, partnering with enterprise clients across Banking, Retail, and Telco in Romania and Europe.

Today, we help organizations design, build, and modernize cloud-native data platforms that power Business Intelligence, Advanced Analytics, and Artificial Intelligence solutions.

Our promise is short and to the point: We always deliver. Expert Data Services.

𝗪𝗵𝘆 𝗜𝗗𝗦 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴

• 14+ years of expertise in Data Platforms, Data Warehousing, Business Intelligence, and Cloud Analytics.

• A team of experienced data specialists who learn from each other every day.

• Real projects, real impact—you’ll build enterprise data platforms that support mission-critical analytics and AI solutions.

• A culture that pushes you to grow, mentors you when you need it, and trusts you to deliver.

Sound like your kind of place? We’d love to meet you.