In the Data Engineer function, you support Hoogwegt's enterprise data assets across the data life cycle and you help manage the data warehouse infrastructure, data models and, repositories. Together with the data manager, you provide expertise on data engineering, information analysis, and IT but also promote the value and the potential of data and analytics in the organization and help drive data analytics and BI adoption.

Description

Data engineering

• As part of data engineering, you acquire and prepare data for analytics purposes. You provide support for the production, and creation of new data, as well as data ingestion, cleansing, enrichment, and transformation.
• Activities:Align architecture with business requirements;
• Develop data set processes;Data acquisition;
• Build pipelines that prepare and transform data (ETL/ELT) for the data warehouse
• Effecting change.
• Information analysis
• You enable analytics and business intelligence initiatives, by designing and extending the data warehouse and data marts. Object matter experts from specific business domains, familiar with its operational processes and relevant data sources will support you.
• You act as liaison with the business domain in a setup of business requirements and use cases for analytics.

Activities:

• Document and review information requirements;
• Liaise with (external) development team members to ensure analytics applications meet user needs;
• Understand business rules and processes of the current organization;
• Design data models, ETL and/or ELT processes;
• Ensure that business views of data are created to support user self-service;
• Ensure that supporting tools are in place and accessible - for example, a business glossary/data catalog implemented and populated with business definitions and calculations.

IT

• You provide guidance and support changes in the existing data and analytics technical platform.
• You support changes within related IT systems to acquire data and deliver insights.

Activities:

• Understand the data and analytics infrastructure implications of business and analytics requirements;
• Understand diverse data and analytics tools and technologies as well as the differences in design and access characteristics of diverse data sources;
• Own the infrastructure, tools, and underlying technologies upon which analytics applications are built;
• Responsible for systems availability and performance as well as data availability.
• Monitor the daily operations and the use of the analytics & BI platform.

Job Offer

• Informal and open company culture;
• ??????A complex and challenging work environment in a growing international organisation;
• Freedom to organise your own work;
• Training and education appropriate to the position;
• Ample opportunities for personal development and growth;
• Very experienced and enthusiastic colleagues;
• Excellent employment conditions with, among others, favourable arrangements in the area of variable remuneration, leave, challenging sports programme and collective insurances;
• A modern workplace in a new office, opposite Arnhem Central Station.

If you have any questions, call or Whatsapp with Quinten Adema - +31 (6) 82 88 97 64 or mail