Functional Data Engineer

Description

• Are responsible for the data pipelines supporting the landscape and stack for experimentation and exploration.
• Support the business initiatives in their data driven experiments and explorations.
• Identify business opportunities and ensure internal customer satisfaction.
• Develop data pipelines between sources and targets.
• Keep abreast of industry best practices and connect Insights from data to Solutions.
• Generate reports of findings and present these to management.
• Track key performance metrics on the managed data landscape across departments.
• Assist and execute in designing and developing effective data strategies.
• Oversee data related projects to extract, manage, and analyze data from multiple applications, ensuring that deadlines are met.
• Set up a monitor model to monitor and maintain data pipelines and data transfer processes.
• Participate in the development of a central data platform to leverage different types and sources of data.
• Identify trends and opportunities for growth through analysis and usage of complex data sets.

Requirements

• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data.
• Strong problem solving, quantitative and analytical abilities.
• Strong ETL and data extraction skills.
• Bachelor's / Master Degree in Analytics, Computer Science, or related field
• Results-driven and ability to handle multiple projects.
• Strong interpersonal and time-management skill
• Skills with data visualization tools like Tibco Spotfire, Microsoft PowerBI
• Good communication and presentation skills.
• Ability to work in the AkzoNobel corporate environment which comprises both traditional waterfall and agile way of workings. Vision is to move towards exclusively Agile
• Understands sensitivity and security questions around data.
• Experience with data preparation tools: e.g. Alteryx, Azure Data Factory, Databricks
• Experience with Microsoft Azure Cloud solutions
• Able to act in a complex multinational environment.
• Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
• Experience with Cloud concepts
• Experience in a Data Engineer position or similar role is required.
• Skills in Data Factory, Azure, Databricks, R, Python, different types of ETL tools
• Strong SQL and/or MySQL skills, ability to perform effective querying involving multiple tables and subqueries.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance