Database ontwikkelaar

DEME
Den Helder, Netherlands
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Den Helder, Netherlands

Tech stack

Data analysis
Azure
Cloud Computing
Databases
Data Architecture
Information Engineering
Dataspaces
Data Structures
Database Queries
Python
DataOps
Scala
UML
Spark
PySpark
Data Analytics
Operational Systems
Data Pipelines
Databricks

Job description

At DEME, we believe that data is one of our most valuable assets. As we grow more data-driven, we are looking for a seasoned data engineer to join our Data & Analytics team within IT, someone who brings deep technical craft and the architectural perspective to help shape where we go next.

DEME General - ICT - Belgium

Build, maintain, and support data pipelines ingesting data from operational systems, projects, and third-party sources. - Contribute to the design, development, and maintenance of data models. - Document and maintain a clear picture of the data landscape, its sources, flows, models, and dependencies, as a joint initiative with the Data Architect. - Review and improve technical designs and implementations for consistency, quality, and scalability before they reach production. - Help define and continuously improve reporting and analytics standards. - Give the analytics team the right data structures, tools, and frameworks to do their best work. - Work cross-departmentally with business stakeholders, data scientists, and report developers to gather requirements and create value from data. - Work across both cloud-based and on-premise data architectures and technologies.

Requirements

Extensive hands-on experience in data engineering, you have seen enough to know what good looks like and can back it up with examples. - Strong SQL skills and fluency in one or more data-oriented languages, Python, Scala, Spark, PySpark, or similar. - Solid experience designing and maintaining data pipelines for analytical and reporting use cases. - Solid data modelling skills, UML, ER modelling, analytical schemas. - Meaningful experience with Databricks and Unity Catalog as part of an analytical data platform. - Comfortable working within a Microsoft Azure-based data ecosystem. - Ability to think architecturally, understanding how pipelines, models, and platforms fit into a b...

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