Data Engineer

• Develop and execute the organization’s data strategy and architecture aligned with business objectives
• Translate business requirements into scalable data architecture, models and technical specifications
• Design and manage data models, metadata, lineage and data catalogs
• Architect and integrate batch and real-time data pipelines across diverse sources and platforms
• Establish and enforce data governance, quality, security, privacy and regulatory standards
• Design and deploy scalable cloud and hybrid data platforms, optimizing performance and cost
• Implement data profiling, validation, cleansing and lifecycle management processes
• Monitor, troubleshoot and optimize data platforms, pipelines and infrastructure
• Collaborate with business leaders, engineers and data scientists to deliver data solutions
• Lead data architecture initiatives and mentor teams on standards, tools and best practices
• Evaluate emerging data, cloud, big data and AI technologies and recommend relevant solutions
• Provide expert services remotely while integrated into the company team collaborating closely with a major client’s on-site IT team

Data Architect

• Read and assess existing CI/CD pipelines to determine whether tasks require adaptation or new work
• Extend infrastructure-as-code following repository patterns
• Apply data engineering and governance standards, including naming conventions, access control, and retention
• Build self-serve tooling from existing patterns
• Create and own a template repository with CI, IaC, and governance pre-wired
• Develop modules that make creating a new pipeline a one-command job
• Write practical documentation
• Own the access-request flow for data resources
• Own the template repository and IaC modules and make roadmap decisions
• Report to the Data Team Leader
• Collaborate across data engineering, backend, and infrastructure work

Data Platform Engineer, Mid-level

• Own the design, implementation, and maintenance of data infrastructure for ingestion, orchestration, and transformation
• Build and maintain Moneyfarm’s analytical data models, ensuring they are performant, scalable, and reliable
• Contribute to the incremental decommissioning of legacy components while ensuring data continuity for the business
• Contribute to AI-powered capabilities of Moneyfarm’s Data Platform
• Share best practices through code reviews and knowledge sharing, supporting the growth of the team
• Work closely with analysts, software engineers, and product teams to solve complex data problems and deploy ML/AI applications
• Bring positive impact to Moneyfarm data culture by sharing knowledge and promoting best practices

Senior Data Engineer

• Build and fine-tune robust cloud data pipelines powering analytics, data science, and product teams
• Implement high-performance ELT/ETL transformations using tools such as dbt
• Build, deploy, and maintain data ingestion and transformation jobs using Airflow and Cloud Composer
• Write and execute data quality tests, including row counts, null checks, and reference validations
• Investigate automated alerts and ensure system performance
• Escalate deeper architectural changes when needed
• Maintain schemas and naming conventions across Snowflake, BigQuery, or Databricks
• Implement table and view enhancements
• Create documentation for pipelines, schemas, and caveats
• Collaborate with Analytics and Data Science teams to understand query needs and deliver optimized data structures

Data Engineer jobs in Italy

Data Architect

Data Platform Engineer, Mid-level

Senior Data Engineer

Data Engineer I