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Senior Data Engineer

Vector Synergy
Den Haag, Netherlands
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
nl.indeed.com

Tech stack

Information Engineering Data Governance Extract Transform Load (ETL) Interoperability Python (Programming Language) Meta-Data Management Apache Spark Apache Kafka Data Management Data Pipelines

Job description

  • Devising and implementing master data management processes for specific subsets of data;
  • Assessing the integrity of data from multiple sources;
  • Providing advice on the transformation of data from one format/medium to another.

Requirements

  • Data engineering, including Python, Spark, Kafka, ETL/ELT pipelines, and automation;
  • Data modelling, ontology engineering, and semantic interoperability;
  • Metadata management and data governance.

Desirable:

  • Prior experience of working in an international environment comprising both military and civilian elements;
  • Knowledge of NATO organization, internal structure and resultant relationships.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on nl.indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff ¡ WWC 2024

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy ¡ LIVE

1:37 min

Introduction to Apache Kafka benchmarking and performance analysis

Kirill Kulikov ¡ LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt ¡ LIVE

47 sec

Building modern data pipelines for legacy exports

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 ¡ WWC 2025

1:39 min

Defining Apache Kafka and its primary real-time use cases

Lucia Cerchie ¡ LIVE

Videos

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Why and when should we consider Stream Processing frameworks in our solutions thumbnail
30:51
WWC 2024 • almost 2 years ago

Why and when should we consider Stream Processing frameworks in our solutions

Soroosh Khodami

PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
WWC Europe 2026 • about 1 month ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

How to Benchmark Your Apache Kafka thumbnail
35:27
LIVE • over 5 years ago

How to Benchmark Your Apache Kafka

Kirill Kulikov

Implementing continuous delivery in a data processing pipeline thumbnail
34:00
LIVE • over 5 years ago

Implementing continuous delivery in a data processing pipeline

Álvaro Martín Lozano

Python-Based Data Streaming Pipelines Within Minutes thumbnail
39:04
LIVE • almost 2 years ago

Python-Based Data Streaming Pipelines Within Minutes

Bobur Umurzokov

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