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Data Analytics Engineer
Job Description
We are seeking a Data Analytics Engineer to enable high-quality analytics and actionable insights across the organization. This role is part of the Digital Transformation team and reports to the Business Intelligence and Data Lead.
Responsibilities:
- Design, develop, and maintain robust data pipelines and workflows
- Develop ETL processes for data cleansing, transformation and storage
- Build and optimize data models to support business intelligence efforts
- Contribute to the design and development of data visualization and reporting solutions
- Collaborate with cross-functional teams to ensure robust data integration and accuracy
- Coordinate with external service providers and data platform vendors to ensure timely delivery and adherence to architectural standards
- Maintain detailed documentation of data solutions
- Support Data Production environment to ensure business continuity
- Evaluate new tools and technologies and provide recommendations for continuous improvement of the data ecosystem
Requirements:
- Bachelor’s and/or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
- Proven work experience (minimum 3 years) in data analytics, data engineering, or a similar field.
- Technical Expertise
- Expertise in Azure data services such as Azure Data Factory, Azure Data Lake, and Azure Synapse Analytics
- Experience with data modeling, ETL processes, and data manipulation/cleansing techniques
- Proficiency in SQL for querying and managing data
- Experience with business intelligence tools such as Power BI, Tableau, or QlikView
- Strong analytical skills for processing and modeling large dataset
- Soft-Skills
- Excellent communication and collaboration skills to translate complex data concepts and foster synergies across the organization
- Positive attitude and a "can-do" approach to challenges
- Eager to learn and openly share knowledge, contributing to the team’s continuous improvement
- Committed to delivering accurate, high-quality solutions consistently, and managing data responsibly, building credibility and trust through reliable work.
Additional desired experience that will make you stand out
- Experience in the maritime industry
- Experience developing Power BI visuals using Power Query and DAX
- Coding with Python