Data Engineer

Bucharest - Romania

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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 companys 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 companys data architecture.

Skills and Qualifications

Bachelors degree in Computer Science Information Systems Engineering or related field (or equivalent experience).

35 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.

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Required Experience:

Role Overview

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 companys data architecture.