Data Warehouse

analytics, business intelligence, data storage

DWH

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2738

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2502

Back in the day, when data lived in operational systems and reporting felt…painful, someone had the bright idea of centralizing everything into a single version of truth. Thus, the Data Warehouse was born, promising a utopian vision of informed decision-making. It’s essentially a meticulously curated archive, painstakingly cleansed and modeled for analysis – a lovely concept, really.

The reality? Building one is a bit like rearranging the Titanic’s deck chairs while it’s taking on water. Years of ETL pipelines, dimensional modeling debates, and the constant struggle to keep it aligned with rapidly changing source systems. Now, it coexists with data lakes and data marts, often becoming a costly, complex component in a larger data ecosystem. Still, plenty of enterprises cling to their dwh, mostly because admitting defeat after a decade-long project feels…uncomfortable.

Used together with DWH

Jobs (this month)

2738

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2502

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using Data Warehouse for

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but please no

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Activity Schema

Adobe Analytics

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Airbyte

Apache Airflow

Alation

Alteryx

Amplitude

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Analytics Engineering

Ansible

Apache Flink

Application Programming Interface (API)

AppDynamics

Redpanda

Webhooks

Argo CD

Apache Arrow

Astronomer

Amazon Athena

Apache Avro

Amazon Web Services (AWS)

Amazon Aurora

AWS CloudFormation

Amazon CloudWatch

Amazon EC2

Amazon EMR

AWS Glue

Amazon Kinesis

AWS Lambda

Amazon RDS

Microsoft Azure

Azure Data Factory

Azure DevOps

Bash

Apache Beam

Business Intelligence (BI)

Big Data

BigEye

Google BigQuery

Blendo

Blockchain

C

C#/.NET

Apache Cassandra

Cyber Security

Certified Cloud Security Professional (CCSP)

Certified Information Systems Security Professional (CISSP)

FinOps

Customer Data Platform (CDP)

Chef

Chroma

Continuous Integration/Continuous Delivery (CI/CD)

Circle CI

ClickHouse

Cloud Computing

Cloud Storage

Cloudflare

Azure Cosmos DB

Collibra

IBM Cognos

Computer Science

Confluence

C++

Customer Relationship Management (CRM)

Comma-Separated Values (CSV)

Cypress

Dagster

Dashboard

Data Analytics

Data Contracts

Data Engineering

Data Governance

Data Lake

Data Lakehouse

Data Management

Data Modelling

Data Quality

Data Science

Data Vault

Data Visualization

Databricks

Datacoral

Datadog

Google Cloud Dataflow

Datafold

Google Dataform

Dataiku

DataOps

Google Cloud Dataproc

Data Analysis Expressions (DAX)

dbt (data build tool)

Delta Lake

DevOps

Docker

Dremio

DuckDB

Data Warehouse

DynamoDB

Dynatrace

Elasticsearch/ELK Stack

Enterprise Resource Planning (ERP)

ETL/ELT

Ethereum

Binance

Non-Fungible Tokens (NFT)

Geographic Information System (GIS)

Decentralized Finance (DeFi)

Smart Contracts

Chainalysis

Web3

Microsoft Excel

Feather

Fivetran

Funnel

Google Cloud Platform (GCP)

GDPR/CCPA

Generative AI

Git

GitHub

GitLab

Go

Google Analytics

Google Cloud Composer

Google Cloud Data Fusion

Google Cloud Functions

Google Cloud Run

Google Sheets

Grafana

Google Tag Manager (GTM)

Apache Hadoop

Apache HBase

Hierarchical Data Format

Hadoop Distributed File System (HDFS)

Heap Analytics

Hevo Data

Apache Hive

HyperText Markup Language (HTML)

Hubspot

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IBM

Apache Iceberg

Informatica

Data Collection

Internet of Things (IoT)

Java

JavaScript

Jenkins

Jira

JavaScript Object Notation (JSON)

JSON Schema

Apache Kafka

Keras

Kibana

(Kimball) Dimensional Modeling

Kissmetrics

Key Performance Indicator (KPI)

Kubernetes

Linux

Large Language Models (LLM)

Logstash

Looker

Looker Studio

Luigi

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MariaDB

Marketing

Marketing Mix Modeling (MMM)

Master Data Management

Masthead Data

Matillion

MATLAB

Matomo

Matplotlib

Modern Data Stack

Meltano

Mendix

Metabase

Microsoft

Microsoft Fabric

Mixpanel

MLOps

Mode Analytics

MongoDB

Monte Carlo

MySQL

IBM Netezza

Neo4j

New Relic

Natural Language Processing (NLP)

NoSQL

NumPy

Opsgenie

Oracle

Optimized Row Columnar (ORC)

PagerDuty

Pandas

Apache Parquet

Pendo

Doctor of Philosophy (PhD)

Pinecone

Piwik PRO

Plausible Analytics

Playwright

Plotly

Polars

PostgreSQL

Microsoft Power BI

Microsoft PowerPoint

PowerShell

Prefect

Presto

Process Mining

Prometheus

Protocol Buffers

Pub/Sub

Pulumi

Puppet

Puppeteer

Pydantic

PySpark

Python

PyTorch

Qlik

Amazon QuickSight

R (Language)

Retrieval Augmented Generation (RAG)

Relational Database Management System (RDBMS)

React

Redash

Redis

Amazon Redshift

Recurrent Neural Networks

Rust

Amazon S3

Software as a Service (SaaS)

Amazon SageMaker

SAP

SAS

Scala

Scikit-learn

SciPy

Seaborn

Twilio Segment

Selenium

Singer

Sisense

Snowflake

Snowplow

Apache Spark

Splunk

SPSS

Structured Query Language (SQL)

SQLMesh

SQLFluff

SQLFmt

Microsoft SQL Server

SQL Server Analysis Services (SSAS)

SQL Server Integration Services (SSIS)

SQL Server Reporting Services

Stitch

Data Streaming

Supermetrics

Apache Superset

Azure Synapse Analytics

TIBCO Spotfire

Tableau

Talend

TensorFlow

Teradata

Bicep

Infrastructure as Code (IaC)

Azure Resource Manager (ARM)

Terraform

Terragrunt

Third Normal Form (3NF)

TOML

Trifacta

Apache Trino

Apache Druid

TypeScript

Unix

Visual Basic for Applications (VBA)

Vector DB

Vertica

VirtualBox

Virtual Machine

VMware

Microsoft Word

Extensible Markup Language (XML)

Xplenty

Yet Another Markup Language (YAML)

Motherduck

PostHog

Kestra

Omni Analytics

Thoughtspot

Lightdash

Hudi

Open Table Format (OTF)

Lance

data engineer Senior data engineer / tech lead @ anwb NL \| 2025-12-27 \| EUR 4105 - 7627 / month Seeking a senior data engineer to lead the Finance Services data platform in Snowflake, this role blends hands-on platform development with technical leadership. You’ll design, build, and evolve... read more »	Snowflake, Data Analytics, DWH, Data Management, AWS, BI, Data Engineering, Computer Science, SQL, Python, dbt, Agile/Scrum	Senior data engineer / tech lead anwb (NL) FULL TIME \| JOB LISTED Seeking a senior data engineer to lead the Finance Services data platform in Snowflake, this role blends hands-on platform development with technical leadership. You’ll design, build, and evolve the data platform and the data domain store, unlock new data sources, and automate scalable dataflows across Snowflake and AWS. You’ll steer platform architecture with the Datahub, Datawarehouse and Data Management teams, own data migrations, and coach junior engineers while translating difficult tech into business value for Finance and IT stakeholders. The role also doubles as a data solution architect, delivering end-to-end data products that are scalable, future‑proof, and aligned with strategic goals. Expect 5+ years in data engineering, SQL, Python, DBT, Snowflake and AWS, agile ways of working, and a data-mesh mindset. Two days on-site in The Hague, with a strong benefits package. Generated content Technology used Snowflake Data Analytics DWH Data Management AWS BI Data Engineering Computer Science SQL Python dbt Agile/Scrum Listed At 2025-12-27 2025-11-13 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Backline Manager (Apache Spark™) @ databricks NL \| 2025-12-27 This role is a misrepresentation of the actual responsibilities and expectations of a Backline Engineering Lead. The job description exaggerates the scope of technical challenges and the impact of... read more »	Databricks, AI/ML, Spark, Big Data, DWH, Delta, Hadoop, Cloud Computing, AWS, Azure, GCP, Management, Analytics, Data Lakehouse	Backline Manager (Apache Spark™) databricks (NL) FULL TIME \| JOB LISTED This role is a misrepresentation of the actual responsibilities and expectations of a Backline Engineering Lead. The job description exaggerates the scope of technical challenges and the impact of the role, while omitting critical details about the team's structure, collaboration with Engineering, and the actual tools and processes used. The emphasis on customer escalations and high-impact incidents is misleading, as the role is more about driving automation and tooling improvements than handling critical incidents. The qualifications listed are too broad and do not reflect the specific technical and managerial skills required, such as hands-on experience with Delta Lake, Hadoop, and cloud platforms, and the ability to mentor and lead a team. The company’s focus on customer satisfaction is undermined by the lack of concrete details about the team’s composition, the tools used, and the actual work environment. The job is a stretch for a data engineering role, with unclear expectations and a lack of specificity about the technologies and processes involved. Generated content Technology used Databricks AI/ML Spark Big Data DWH Delta Hadoop Cloud Computing AWS Azure GCP Management Analytics Data Lakehouse Listed At 2025-12-27 2025-09-12 (original listing) Similar Jobs Loading... Permalink View original posting
promoted Masthead Data Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.	Learn More
data engineer Data Engineer - Defensie Unit @ cgi-in-nederland NL \| 2025-12-27 Data Engineer for CGI’s Defence Unit must translate data as a service into defence-ready analytics and AI solutions, building and maintaining cloud data platforms while shaping project... read more »	Analytics, AI/ML, Cloud Computing, Data Engineering, Agile/Scrum, Data Science, DWH, Big Data, Hadoop, Spark, Kafka, NoSQL, SQL, SAS, Python, Informatica, Power BI, Airflow, Azure, AWS, Docker, Kubernetes, BI	Data Engineer - Defensie Unit cgi-in-nederland (NL) FULL TIME \| JOB LISTED Data Engineer for CGI’s Defence Unit must translate data as a service into defence-ready analytics and AI solutions, building and maintaining cloud data platforms while shaping project architecture. The role blends consultancy with hands-on delivery, requiring strong data management, data lake/warehouse patterns, and practical use of Big Data tools. Expect heavy exposure to Hadoop, Spark, Kafka, NiFi, SQL/NoSQL, Python, and BI tooling (PowerBI), plus ETL and workflow engines like Airflow and Informatica PowerCentre. Cloud competency across Azure, AWS or Google, container tech (Docker, Kubernetes), and AI concepts matters. Dutch fluency and stakeholder communication are nonnegotiable. CGI touts permanent contracts, small self-organizing teams, and salary benefits, but the defence context adds security/compliance frictions and potential project churn. It’s a solid, pragmatic data engineering role for those who want real infrastructure impact rather than buzzword bingo. Generated content Technology used Analytics AI/ML Cloud Computing Data Engineering Agile/Scrum Data Science DWH Big Data Hadoop Spark Kafka NoSQL SQL SAS Python Informatica Power BI Airflow Azure AWS Docker Kubernetes BI Listed At 2025-12-27 2025-10-01 (original listing) Permalink View original posting

data engineer Senior data engineer / tech lead @ anwb NL \| 2025-12-27 \| EUR 4105 - 7627 / month Seeking a senior data engineer to lead the Finance Services data platform in Snowflake, this role blends hands-on platform development with technical leadership. You’ll design, build, and evolve... read more »	Snowflake, Data Analytics, DWH, Data Management, AWS, BI, Data Engineering, Computer Science, SQL, Python, dbt, Agile/Scrum	Senior data engineer / tech lead anwb (NL) FULL TIME \| JOB LISTED Seeking a senior data engineer to lead the Finance Services data platform in Snowflake, this role blends hands-on platform development with technical leadership. You’ll design, build, and evolve the data platform and the data domain store, unlock new data sources, and automate scalable dataflows across Snowflake and AWS. You’ll steer platform architecture with the Datahub, Datawarehouse and Data Management teams, own data migrations, and coach junior engineers while translating difficult tech into business value for Finance and IT stakeholders. The role also doubles as a data solution architect, delivering end-to-end data products that are scalable, future‑proof, and aligned with strategic goals. Expect 5+ years in data engineering, SQL, Python, DBT, Snowflake and AWS, agile ways of working, and a data-mesh mindset. Two days on-site in The Hague, with a strong benefits package. Generated content Technology used Snowflake Data Analytics DWH Data Management AWS BI Data Engineering Computer Science SQL Python dbt Agile/Scrum Listed At 2025-12-27 2025-11-13 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Backline Manager (Apache Spark™) @ databricks NL \| 2025-12-27 This role is a misrepresentation of the actual responsibilities and expectations of a Backline Engineering Lead. The job description exaggerates the scope of technical challenges and the impact of... read more »	Databricks, AI/ML, Spark, Big Data, DWH, Delta, Hadoop, Cloud Computing, AWS, Azure, GCP, Management, Analytics, Data Lakehouse	Backline Manager (Apache Spark™) databricks (NL) FULL TIME \| JOB LISTED This role is a misrepresentation of the actual responsibilities and expectations of a Backline Engineering Lead. The job description exaggerates the scope of technical challenges and the impact of the role, while omitting critical details about the team's structure, collaboration with Engineering, and the actual tools and processes used. The emphasis on customer escalations and high-impact incidents is misleading, as the role is more about driving automation and tooling improvements than handling critical incidents. The qualifications listed are too broad and do not reflect the specific technical and managerial skills required, such as hands-on experience with Delta Lake, Hadoop, and cloud platforms, and the ability to mentor and lead a team. The company’s focus on customer satisfaction is undermined by the lack of concrete details about the team’s composition, the tools used, and the actual work environment. The job is a stretch for a data engineering role, with unclear expectations and a lack of specificity about the technologies and processes involved. Generated content Technology used Databricks AI/ML Spark Big Data DWH Delta Hadoop Cloud Computing AWS Azure GCP Management Analytics Data Lakehouse Listed At 2025-12-27 2025-09-12 (original listing) Similar Jobs Loading... Permalink View original posting
promoted Masthead Data Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.	Learn More
data engineer Data Engineer - Defensie Unit @ cgi-in-nederland NL \| 2025-12-27 Data Engineer for CGI’s Defence Unit must translate data as a service into defence-ready analytics and AI solutions, building and maintaining cloud data platforms while shaping project... read more »	Analytics, AI/ML, Cloud Computing, Data Engineering, Agile/Scrum, Data Science, DWH, Big Data, Hadoop, Spark, Kafka, NoSQL, SQL, SAS, Python, Informatica, Power BI, Airflow, Azure, AWS, Docker, Kubernetes, BI	Data Engineer - Defensie Unit cgi-in-nederland (NL) FULL TIME \| JOB LISTED Data Engineer for CGI’s Defence Unit must translate data as a service into defence-ready analytics and AI solutions, building and maintaining cloud data platforms while shaping project architecture. The role blends consultancy with hands-on delivery, requiring strong data management, data lake/warehouse patterns, and practical use of Big Data tools. Expect heavy exposure to Hadoop, Spark, Kafka, NiFi, SQL/NoSQL, Python, and BI tooling (PowerBI), plus ETL and workflow engines like Airflow and Informatica PowerCentre. Cloud competency across Azure, AWS or Google, container tech (Docker, Kubernetes), and AI concepts matters. Dutch fluency and stakeholder communication are nonnegotiable. CGI touts permanent contracts, small self-organizing teams, and salary benefits, but the defence context adds security/compliance frictions and potential project churn. It’s a solid, pragmatic data engineering role for those who want real infrastructure impact rather than buzzword bingo. Generated content Technology used Analytics AI/ML Cloud Computing Data Engineering Agile/Scrum Data Science DWH Big Data Hadoop Spark Kafka NoSQL SQL SAS Python Informatica Power BI Airflow Azure AWS Docker Kubernetes BI Listed At 2025-12-27 2025-10-01 (original listing) Permalink View original posting

Open jobs

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Used together with DWH

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Senior data engineer / tech lead @ anwb

Backline Manager (Apache Spark™) @ databricks

Masthead Data

Data Engineer - Defensie Unit @ cgi-in-nederland