Senior Data Engineer
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Job Location:
Utrecht - Netherlands
Monthly Salary:
Not Disclosed
Posted on:
20 hours ago
Vacancies:
1 Vacancy
Job Summary
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 decisionmaking across the organization. This role combines handson engineering coaching and crossteam collaboration.
Qualifications :
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 highquality 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 selfservice BI (Microsoft Fabric).
- Support business units such as Asset Management Operations Maintenance and Capacity Management in becoming more datadriven.
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 customercentric mindset in all activities
Required Skills & Experience
Education & Experience
- Bachelors 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 & SelfService: Microsoft Fabric (future)
Additional Information :
Languages:
- Fluent in Dutch& English
All our positions are open to both women and men and are of course open to people with disabilities.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Choose a job that makes sense EVERIENCE supports the companies digital transformation by combining the unique know-how of its teams with the most relevant technologies. Because the future of companies is closely linked to the success of its employees, EVERIENCE supports 1,200,000 u ... View more
