Analytics Engineer

Role: Analytics Engineer

Location: IJsselstein

About us: The Royal Terberg Group is globally active in the development, production, and service of specialized vehicles for ports, logistics, and waste collection. As a family-owned company, we prioritize our people. Guided by our core values, we focus on sustainable growth and innovation, which has led to our success for over 155 years. Since 2014, we have been investing in electric vehicles and are extensively testing with hydrogen. We aim to responsibly manage our environment so that future generations can continue our success.

When it comes to data, it is and exciting time to join our company as we are at a pivotal moment. We are in the midst of restructuring our data organization, defining and rolling out our data strategy, and working towards our future data architecture.

You can be part of this journey and – together with the rest of the organization – help us to realize our growth ambitions by leveraging data!

Your team: You will become part of our data team at Terberg Group, which includes a data manager, product owner data warehouse, process owners and analysts. As we are on a pivotal moment in our data journey, we are actively looking for more roles to grow the team. The aim of the team is to optimize our company’s processes and achieve added value through the effective use of data.

Your role: As an Analytics Engineer, you will work on the foundation of our analytical data. With your knowledge of data structures, data models, pipelines, and data platforms, combined with our ambitions and challenges, we will take steps together towards our future data-driven organization. You will be broadly challenged with opportunities to develop in data engineering, data analysis, and data architecture.

You will start by scaling our data warehouse/lakehouse, building data marts and data products in close collaboration with our business stakeholders, and with that making sure data is widely available throughout our organization.

You will work closely with the Product Owner Data Warehouse, Group Data Manager, other team members of the group data team, and representatives from other Terberg companies. You will report to the Group Data Manager.

Tasks and Responsibilities:

• Data transformation and processing: as an analytics engineer you will work on effective data transformations and processing. These should be goal-oriented (serving the purpose of the data product), cost-effective, and sustainable (e.g. stable performance, possible to update, and easy to maintain)

Data modeling and analysis: as an analytics engineer you are responsible for translating the needs from analysts and business stakeholders into effective data models and datasets. Creating data products and analyzing results on calculated and aggregated metrics are part of this, amongst others to validate and prove provided outcomes.

• Monitoring and optimization of data flows: as an analytics engineer we expected you to help provide clear data insight in the transformation of data between layers in our analytical storage (DWH) and support the maintenance, monitoring, and the performance of our data throughout its lifecycle.
• Compliance and collaboration: as an analytics engineer you will work in multidisciplinary teams with people in various roles to collectively provide the best data solutions for Terberg (also including internal, external, local, and group).

Required Skills and Expertise:

We value curiosity and the ability to learn new techniques more than having the perfect experience for what we need today.

Must have:

• Strong proficiency in SQL (a.o. knowledge of stored procedures)
• Experience with ERP data (preferably MS Dynamics)
• Experience with Cloud Platforms (Azure is preferred)
• Understanding of data governance, data quality, and security best practices
• Knowledge of Dimensional Data Modeling Techniques.
• Curiosity and Ability to Learn New Techniques - and apply them in a business context.
• Analytical Problem-Solving Skills: Both independently and as part of a team

Nice to have:

• Experience in the manufacturing industry is considered a pre
• Experience with at least a few from: Tabular NoSQL, Power Query M, Gremlin API, DAX
• Experience in relevant tooling like: Synapse, dbt, Fabric, SSMS, PowerBI, Data Bricks
• Working in agile project environments and with tools like Jira, Confluence, etc.
• Experienced in using Git solutions like Azure DevOps or GitHub

Profile of the ideal candidate: We are looking for an analytical problem solver who has the drive to deep dive and solve puzzle individually as well as working with various people to find and build the best solutions together. You are quality-oriented, meticulous, persistent, and self-reflective about your strengths and areas for improvement.

What do we offer you?

A dynamic and pivotal role within an international family-owned company that is a market leader in its segment, with healthy expansion ambitions, and a continuous focus on innovation, improvement, and development.

• Competitive salary, ranging from €62K to €75K excluding a bonus based on performance and company results.
• Great additional perks: 25 days holiday allowance (option to purchase more), strong pension plan, office gym, yoga lessons, team events, and many more…
• Hybrid Work Environment: With flexible working hours to ensure a good work-life balance.
• Professional and Personal Development: Opportunities for growth and training to further develop your skills.
• Multidisciplinary Teams: Work in diverse teams.
• Collegial Atmosphere: Enjoy a friendly work environment

Apply now: are you the Analytics Engineer we are looking for? Apply directly via LinkedIn

Not 100% sure about the fit between our company, the role, and you, please reach out to us and tell us what you think. We are looking forward to your application!