Data Analytics Engineer

As a global logistics service provider, Katoen Natie combines engineering, technology and port operations to offer worldwide, tailor-made solutions to the chemical and automotive industries, and to the consumer goods, electronics & retail sector. Katoen Natie has 181 logistic platforms and is active in 40 countries all over Europe, North America, South America and the Far East with a staff of more than 18.000 people.

Our Business Units Petrochemicals, Specialty Chemicals, Warehousing & Commodities and Food & Feed offer total solutions based on integrated logistics and engineering. To support these fast-growing businesses, Katoen Natie is looking for a BI Developer for its sites in the harbor of Antwerp (Belgium).

At Katoen Natie, you can be the bridge in more than one way: Business and IT, proven and new technology, Working together with other teams is a key success factor. We applaud taking initiatives and sharing our professional views in order to grow and to become a more mature enterprise environment.

As a Data Analytics Engineer you will contribute to the development of a modern Data Platform and Architecture. Your engineering skills will enable you to build end-to-end data pipeline flows to prepare data for reporting and visualization. You are expected to align with business users to gather requirements. You will engage in challenging Data Analytics projects which deliver business value to our customers.

Responsibilities

• Deliver quality reports and visualizations.
• Work together with colleagues in Belgium and Nearshore countries.
• Contribute to the success of Data Analytics projects.
• Assist in supporting and maintaining the running environment.

Knowledge and skills

• Experience with data architectures involving data streams, integrations, transformations, analytics, databases and data warehousing.
• Experience with relational, graph and/or unstructured data technologies such as MS SQL Server, Azure SQL, Azure Data Lake, Data bricks, HD Insights, Hadoop, MongoDB, MySQL, PowerBI, Python, SSIS, SSAS, SSRS, etc…
• Knowledge of Data modeling, Data catalogue, Data security, & Master Data Management
• Knowledge of Data science lifecycle management
• Experience with IoT data ingestion, storage, analytics and visualizations
• Knowledge of AI & ML management, architecture and technologies
• Knowledge of data and event driven strategies, management and architectures.
• Experience working in Agile & “traditional” SDLC and hybrid methodology environments

• An exciting job in a leading dynamic company with no-nonsense culture
• A job with high responsibility and lots of variety
• An attractive salary package