About the role
<div class="content-intro"><p>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.&nbsp;</p></div><p>&nbsp;</p> <h3>Role Overview</h3> <p>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.&nbsp;</p> <h3>Key Responsibilities</h3> <ul> <li> <div class="ewa-rteLine"> <p></p> <div class="ewa-rteLine">• Design, develop, and maintain data pipelines and ETL/ELT processes using Azure Data Factory, Synapse Pipelines, or Databricks.</div> <div class="ewa-rteLine">• Build and optimize data lake and data warehouse architectures on the Microsoft Azure platform.</div> <div class="ewa-rteLine">• Ensure data quality, reliability, and consistency across all systems through validation, monitoring, and governance practices.</div> <div class="ewa-rteLine">• Collaborate with BI Developers and Analysts to deliver high-performance data models for reporting and analytics.</div> <div class="ewa-rteLine">• Work with application and integration teams to ingest data from ERP, IoT, APIs, and external sources into the Azure Data Platform.</div> <div class="ewa-rteLine">• Implement data security and compliance controls, including identity, access management, and data masking, aligned with maritime regulations.</div> <div class="ewa-rteLine">• Optimize pipeline performance and manage cost-efficiency across Azure resources.</div> <div class="ewa-rteLine">• Contribute to the automation of deployments using CI/CD, version control, and Infrastructure-as-Code (IaC).</div> <div class="ewa-rteLine">• Stay updated on Microsoft Azure data ecosystem advancements and propose improvements to company's data architecture.</div> <p></p> </div> </li> </ul> <h3>Skills and Qualifications</h3> <p></p> <div class="ewa-rteLine">• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).</div> <div class="ewa-rteLine">• 3–5 years of professional experience as a Data Engineer or in a related