Data Engineer

We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team. Role Overview We are seeking a Data Engineer to design, build, and maintain the pipelines and data platforms that power company's next-generation maritime applications. You will work closely with BI Developers, Data Architects, and Product teams to ensure data is collected, transformed, and delivered in a secure, scalable, and efficient manner using Microsoft and Azure technologies. Key Responsibilities • Design, develop, and maintain data pipelines and ETL/ELT processes using Azure Data Factory, Synapse Pipelines, or Databricks. • Build and optimize data lake and data warehouse architectures on the Microsoft Azure platform. • Ensure data quality, reliability, and consistency across all systems through validation, monitoring, and governance practices. • Collaborate with BI Developers and Analysts to deliver high-performance data models for reporting and analytics. • Work with application and integration teams to ingest data from ERP, IoT, APIs, and external sources into the Azure Data Platform. • Implement data security and compliance controls, including identity, access management, and data masking, aligned with maritime regulations. • Optimize pipeline performance and manage cost-efficiency across Azure resources. • Contribute to the automation of deployments using CI/CD, version control, and Infrastructure-as-Code (IaC). • Stay updated on Microsoft Azure data ecosystem advancements and propose improvements to company's data architecture. Skills and Qualifications • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience). • 3–5 years of professional experience as a Data Engineer or in a related role. • Hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake. • Strong proficiency in SQL and experience with Azure SQL Database or SQL Server. • Experience with Databricks (PySpark, SparkSQL) or equivalent data processing frameworks. • Familiarity with data modeling, dimensional design, and data warehouse best practices. • Understanding of Azure DevOps, Git, and CI/CD for data pipeline deployment. • Knowledge of Python, T-SQL, or PowerShell for scripting and automation. • Familiarity with data governance, lineage, and cataloging tools (e.g., Azure Purview). • Experience integrating multiple data sources, including APIs, IoT, ERP, or legacy systems. • Nice-to-have: exposure to streaming data technologies (e.g., Azure Event Hubs, Kafka) and maritime IoT datasets. • Strong analytical, problem-solving, and collaboration skills. To see more roles, click here .