Senior Data Engineer

Everience is an international consulting group delivering AI-augmented digital services and placing people at the heart of the AI revolution.

With a presence in Europe, Africa, Asia and America, Everience offers its 4,000-strong workforce the most demanding and stimulating environment in which to transform and develop their skills, learning about new AI-based roles and building their future employability.

Through its Symbiotic Academy the group offers a unique hub for training, practical application and exchange where everyone can experiment, learn, and progress in the fields of artificial intelligence and data.

In accordance with its core purpose of orchestrating the symbiotic relationship between humans and AI in the workplace, Everience is making the augmented employee the driving force of a “symbiotic age”, where AI enhances talents and opens up new career opportunities.

We are  looking for a Senior Data Engineer to help drive the energy transition by transforming raw data into actionable insights. You will design, build, and maintain data solutions that support business decision‑making across the organization. This role combines hands‑on engineering, coaching, and cross‑team collaboration.

Responsibilities

Data Engineering & Development

• Develop and maintain scalable data pipelines in the Microsoft Azure Cloud environment.
• Work with tools such as Databricks, Microsoft Fabric (future), and Airflow.
• Build data engineering solutions, including interfaces to and from the data platform.
• Transform large volumes of raw data such as sensor data into meaningful, high‑quality information.

Data Solutions & Architecture

• Translate business information needs into effective technical data solutions.
• Contribute to the development of BI and data services, including decentralization and self‑service BI (Microsoft Fabric).
• Support business units such as Asset Management, Operations, Maintenance, and Capacity Management in becoming more data‑driven.

Collaboration & Coaching

• Coach and mentor fellow engineers within a DevOps team.
• Work closely with platform teams, data providers, architects, and other stakeholders.
• Help balance business priorities with technical debt management.
• Participate in operational and maintenance tasks within the team.

Innovation & Continuous Improvement

• Quickly learn new tools and programming languages.
• Drive innovation and bring colleagues along in adopting new technologies and approaches.
• Maintain a strong customer‑centric mindset in all activities​​​​​​​

Required Skills & Experience

Education & Experience

• Bachelor’s degree level of thinking and working (HBO level).
• At least 5 years of relevant professional experience.

Technical Expertise

• Proven experience translating business features into technical solutions within existing architectural frameworks.
• Demonstrable experience with:• SQL Server
• Databricks
• Data lake concepts (e.g., Delta Lake)
• ELT/ETL processes
• Python and SQL scripting

• Experience working with APIs (preferred).
• Familiarity with software engineering best practices, including:• OTAP
• Version control (Git)
• Test automation
• CI/CD pipelines

Data Modeling & BI

• Knowledge of various data modeling techniques.
• Experience with Data Vault is a plus.
• Knowledge of Microsoft Fabric, especially in the context of migrating from Databricks, is an advantage.

Soft Skills

• Strong communication skills.
• Experience coaching and guiding colleagues.
• High energy, curiosity, and a positive, proactive mindset.

4. Tools & Technologies

• Cloud: Microsoft Azure
• Data Engineering: Databricks, Airflow
• Languages: Python, SQL
• Data Concepts: Delta Lake, Data Lakehouse, ELT/ETL
• DevOps: Git, CI/CD, OTAP
• BI & Self‑Service: Microsoft Fabric (future)

Languages:

• Fluent in Dutch& English

All our positions are open to both women and men and are, of course, open to people with disabilities.