Key Skills

Job Description

At Intus, we help our customers with smart workforce scheduling solutions, directly contributing to one of the biggest societal challenges of our time: solving staff shortages. Our products bring flexibility and efficiency to the scheduling process. This ensures that employees can be deployed optimally, increases job satisfaction, and supports a healthy work–life balance for everyone. A win-win for both organizations and their employees! For our Data Platform team we are looking for a Data Engineer. What will you do As a Data Engineer, you will play a key role in our Data Platform team. The Data Platform is a new platform at Intus with many opportunities for development and improvement. You will play a key role in enabling our clients and internal organization to make data driven decisions through our state of the art EU cloud hosted data platform. You will work on: Building, maintaining and optimizing data pipelines tailored to the data requirements of our customers. Maintain and improve the data infrastructure running in containers on Kubernetes. Helping other data specialists in the team develop data models and visualizations. All this to support our growth in both Dutch and international markets! You will join a recently formed team consisting of Data specialists and a Product owner. Technology and tools You will work with modern technology. We use Clickhouse, SQLMesh, Postgres and Superset as the fundaments of the platform. We always look for promising technical solutions, so we also appreciate you bringing new ideas and tools. Job requirements Data Engineering Fundamentals: Data modeling fundamentals, including dimensional modeling (star/snowflake) and medallion architecture (bronze/silver/gold) ETL/ELT pipeline development, orchestration, and data quality testing Advanced SQL, including query optimization, indexing, and performance tuning Data processing, transformation, and scripting (e.g. Python) Infrastructure as Code with Terraform or similar for managing cloud resources Technology: Experience with the tech stack we use is a pro: Clickhouse (or other columnar storage technologies), SQLMesh (or dbt), Docker, SQL, Python Data Platform Skills: Data governance and security — lineage, cataloging, metadata management, authentication/authorization, encryption, and PII handling Modern data warehouse architectures and data stack patterns We work hard, but also have a lot to offer. Here is a selection of the benefits of working at Intus: A meaningful job: being part of an organization that makes the working lives of more than 300.000 people more fun and easier Free lunch and fruit: we all eat together when you are in the office Different career development opportunitccies! A hybrid role: 2 days or more in the office A nice and cozy office with climate control located next to Driebergen-Zeist station A good salary Untaxed expense allowance (internet) of 30€/month A shower (a warm one 😊)... so you can get to the office by bike or run for a bit during lunch or after office hours! 28 vacation days to recharge your battery Work-from-home budget to create a healthy working environment at home A pension scheme Regular Friday afternoon drinks, board games, darts, and of course an annual team outing with all your colleagues!

Core Responsibilities

Build, maintain, and optimize customer-focused data pipelines, and maintain and improve the data infrastructure running in containers on Kubernetes. Support the team in developing data models and visualizations to enable data-driven decisions through Intus's cloud-hosted data platform.

Requirements

The role calls for data engineering fundamentals, including data modeling, ETL/ELT development, orchestration, data quality testing, advanced SQL, and data processing with Python. Experience with tools such as ClickHouse, SQLMesh or dbt, Docker, and Terraform, along with knowledge of modern data platforms, governance, and security, is relevant.

Benefits

• Free Lunch And Fruit
• Career Development Opportunities
• Hybrid Work
• Climate-Controlled Office
• Untaxed Internet Expense Allowance
• 28 Vacation Days
• Work-From-Home Budget
• Pension Scheme
• Team Social Events