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Reply

Consulting and system integration across sectors

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or a related field.
  • At least 6 years of experience in data engineering, data platform development, or cloud data solutions.
  • At least 3 years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies.
  • Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL.
  • Expertise with Databricks, including designing enterprise-level strategy and architecture involving Unity Catalog, data warehousing, data sharing, and Mosaic AI.
  • Experience with DevOps for data, GitHub, automated testing, and containers such as AKS, Docker, and registries.
  • Ability to explain concepts clearly to teammates and customers and learn new concepts and technologies quickly.

Responsibilities

  • Work directly with clients to understand business goals, data challenges, and technical requirements.
  • Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews.
  • Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources.
  • Implement medallion and lakehouse architectures, dimensional models, and data transformation workflows for analytics and reporting use cases.
  • Engineer solutions using PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks.
  • Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security.

Desired Qualifications

  • Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.
  • Experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents.
  • Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements.
  • Broad experience with data and reporting tools, architectures, cloud vendors, and data and AI concepts beyond Microsoft.

About the Company

Reply

Consulting and system integration across sectors

Reply designs and implements solutions based on new communication channels and digital media, organized as a network of specialized firms that provide consulting, system integration, and digital services. It helps organizations adopt digital business models by combining advisory, technology services, and implementation, including data analysis, cloud architecture, IoT deployment, and digital media integration. It differentiates itself by offering cross‑domain, tailor-made solutions through a network of experts rather than a single vendor, focusing on business‑model design around big data, cloud, IoT, and digital media. Its goal is to help clients unlock value, streamline operations, and transform their businesses across sectors.

Company size
10,001+
Company stage
IPO
Headquarters
Turin, Italy
Founded
1996

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