Summary
✨ AI‑Generated
A technology consulting team is seeking a Data Analytics Engineer to create scalable data applications that turn business needs into actionable insights. You will lead complex analytics solutions and work across data architecture, data modeling, Power BI, Microsoft Fabric, Azure data services, AI, machine learning, and predictive analytics. The role also includes knowledge sharing, coaching, customer advisory, and establishing analytics standards and best practices.
Highlights
Own complex analytics solutions end to end while combining data engineering, analytics, consulting, and business impact. The role offers opportunities to work across architecture, modeling, BI, cloud data services, AI, and predictive analytics and to coach colleagues and advise customers.
Description
# Data Analytics Engineer
## About the Role
ilionx is seeking a **Data Analytics Engineer** who wants to go beyond building dashboards and help organizations determine how they use data to make better decisions.
In this role, you will combine data engineering, analytics, consulting, and business impact, taking ownership of complex analytics solutions for customers and helping translate business needs into sustainable, scalable data applications.
You will work in multidisciplinary teams and contribute to **data architecture, data modeling, Power BI, Microsoft Fabric, Azure data services, AI, machine learning, and predictive analytics**.
You will also coach colleagues, promote knowledge sharing, advise customers, provide training where needed, and help establish analytics teams, standards, best practices, and tools.
## Key Responsibilities
- Lead the development of complex analytics solutions for customers.
- Take ownership of the design and implementation of data-driven applications within multidisciplinary teams.
- Design sustainable and scalable analytics solutions.
- Bridge business requirements and technical implementation.
- Advise customers on how to better use and derive value from their data.
- Contribute to data architecture designs in **Azure**.
- Work with **Microsoft Fabric, Synapse, Data Factory, Data Lake/Lakehouse, and Delta Lake**.
- Build data models and dashboards using **Power BI and Tabular Editor**.
- Apply performance optimization techniques.
- Develop clear and effective data models with strong attention to data quality.
- Use **DAX, M Query, and SQL** to maximize value from data.
- Explore and apply AI and machine learning to automate processes and create predictive insights.
- Coach and mentor less-experienced colleagues.
- Stimulate knowledge sharing within and outside the team.
- Act as a sparring partner and advisor for customers.
- Translate customer questions and requirements into practical analytics solutions.
- Provide customer training where appropriate.
- Help establish and professionalize analytics teams.
- Implement analytics standards, best practices, and tools.
- Contribute to ilionx's data-driven products and managed services where applicable.
- Stay current with new data technologies and look beyond traditional analytics approaches.
## Required Qualifications
- Completed **HBO or WO degree**.
- Minimum **4 years of experience as a BI/Data Specialist**.
- Expertise in **data analysis, data modeling, and presenting data in a user-friendly way**.
- Experience with data services including:
- Power BI.
- Microsoft Fabric.
- Data Factory.
- Synapse.
- Data Lake/Lakehouse.
- Delta Lake.
- Strong experience with **DAX, M Query, and SQL**.
- Knowledge of **dimensional data modeling and logical data modeling**.
- Good command of the **Dutch language**, both written and spoken.
- Ability to work effectively across business and technical domains.
## Preferred Qualifications
The source job description does not explicitly identify separate preferred qualifications.
Candidates are encouraged to apply even if they do not meet every stated criterion.
## Skills & Competencies
- Data analytics.
- Data engineering and analytics engineering.
- Business intelligence (BI).
- Data modeling.
- Dimensional and logical data modeling.
- Power BI.
- Microsoft Fabric.
- Azure Synapse.
- Azure Data Factory.
- Data Lake/Lakehouse.
- Delta Lake.
- DAX.
- M Query.
- SQL.
- Tabular Editor.
- Dashboard development.
- Data visualization and user-friendly presentation of data.
- Data quality management.
- Performance optimization.
- Data architecture.
- AI and machine learning.
- Predictive analytics.
- Process automation.
- Business and IT communication.
- Customer consulting and advisory.
- Coaching and mentoring.
- Knowledge sharing.
- Team development.
- Standards and best-practice implementation.
- Scalable and sustainable solution design.
## Education & Experience
**Education**
- Completed **HBO or WO degree**.
**Experience**
- Minimum **4 years of experience as a BI/Data Specialist**.
- Expertise in data analysis and data modeling.
- Experience presenting data in a user-friendly way.
- Experience with Power BI, Fabric, Data Factory, Synapse, Data Lake/Lakehouse, and Delta Lake.
- Strong experience with DAX, M Query, and SQL.
- Knowledge of dimensional and logical data modeling.
## Work Arrangement & Schedule
- **Work arrangement:** Hybrid and flexible.
- **Location:** Zwolle, Netherlands.
- Work can take place at an ilionx office, at the customer, or from home.
- **Employment type:** Permanent contract.
- **Hours:** The salary is based on **40 hours per week**; the source does not separately specify a required weekly-hours range.
- **Schedule:** Flexible working environment based on individual needs.
- **Weekend requirements:** Not specified.
## Compensation & Benefits
- **Salary:** €4,500–€6,500 based on **40 hours per week**, with a bonus system.
- Permanent contract upon joining.
- Comprehensive lease arrangement for both car and bicycle.
- Choice between working for customers or developing ilionx's own data-driven products offered as managed services.
- Flexible working environment tailored to individual needs.
- Increasing focus and vision on **AI-driven working**.
- Good pension scheme.
- Attractive bonus.
- Lease car or mobility allowance.
- Home-working allowance.
- Opportunities for professional and personal development.
- Challenging working environment.
- Hybrid working from home or office.
- Events and social activities.
- Time for relaxation.
- Flexible public holidays.
- Lease bicycle scheme.