Data Engineer

What are you going to do?

As a Data Engineer you know how to extract data from various silos and convert them into meaningful insights with the help of our dataplatform. You work closely with data analysts that focus on the business context and make analytics insights accessible, for example via dashboards.

You will mostly work on our on-premise dataplatform: a GitHub workflows-deployed Airflow instance that runs in Nomad and extracts most of the data from our own internal APIs and databases. The transformation and data validation is done with Python (a.o. pandas, pandera, DuckDB) and the data is written to Ceph S3. This data can be used by the data analysts for EDAs (Exploratory Data Analyses) Jupyter Notebooks in a Docker container on our VM or published to analytics dashboards in PowerBI.

You will take on the challenge to make a reliable, safe, yet easy to use system that scales to reach analytics goals of the Healthcare key market. You have an affinity for giving structure to complex, (un)structured, big data and for supporting others in working with data. You enjoy inventing clear processes that facilitate data processing.

Your responsibilities

Dataplatform

You will simplify, maintain and implement new data pipelines. This is done together with your colleague data engineer and the data analysts which are power users of the platform. In the future, you will help integrate parts of the platform into the company-wide data infrastructure.

Analytics Infrastructure

Next to data pipelines, the team conducts notebook-driven EDAs that should be done in a safe and secure environment. You will help enable, improve and optimise the existing processes in our current Analytics Infrastructure approach.

Governance

With great power comes great responsibility: we work with privacy-sensitive, medical data that is owned by healthcare organisations. Awareness of PII, data retention, aggregation, security, etc. is important such that data is handled appropriately. With privacy-awareness in mind and supported by colleagues, you design data workflows that prioritize data security and privacy.

Your team

As a Data Engineer you'll join the Nedap Healthcare Product Analytics team. We are a small, yet diverse self-steering team. We make decisions as a group and we help each other grow professionally.

The team's responsibilities are focused on shaping actionable analytics questions and implementing them within Nedap Healthcare. We work on data questions from other internal teams such as the Dossier, Logistics or Commercial team of Nedap Healthcare.

In addition to the Product Analytics team, there are various data science teams within the Healthcare market group and various data analytics teams within Nedap. With the latter we exchange our experiences regarding data platforms and all these colleagues are available for specific questions regarding data, data analysis, and data engineering.

The team is a close-knit group that regularly collaborates and shares knowledge, but also enjoys catching up by the coffee machine to gather new data on the non-work-related aspects of life.

What's in it for you?

As a Data Engineer at Nedap, you make a valuable contribution to our mission: helping people become happier and more successful in their professional lives.

In addition to your salary, you’ll receive a thirteenth month’s pay, a solid pension plan, and profit sharing with the opportunity to become a Nedap shareholder.

At Nedap, everything revolves around trust and autonomy. That’s why, along with your colleagues, you decide on your own working hours and vacation days to maintain a healthy work-life balance.

We also place great importance on both personal and professional growth. You’ll receive a thorough introduction and are encouraged to keep developing yourself throughout your career.

Required skills

As a Data Engineer, your main focus is the expansion, ease of use and maintenance of the existing Airflow dataplatform solution. Together with the data analysts and in close collaboration with the other data engineer in the team, you will implement and review data pipelines and simplify unnecessary repetitive tasks while keeping good coding practices in mind. Secondary, you will help integrate the existing dataplatform tech stack more with the ad hoc analyses, in order to speed up the path from prototyping to production.

You recognise yourself in the following points:

• Work experience: Educational or practical background in a data related field like Data Science or Computer Science and at least one year of practical experience in software engineering.
• Strong technical skills in Python (or equivalent experience in another language and a willingness to learn) and experience building robust systems.
• Technical curiosity: You keep up with developments in software architecture and data engineering, such as a data mesh, and translate them into platform and tooling improvements in collaboration with the team.
• Language skills: Fluent in English; working knowledge of Dutch is preferred.

Good to know: Hybrid (remote) working is common at Nedap, and together with your team, you determine your own working hours to maintain a healthy work-life balance. Given the responsibilities of the role, you are preferably present on our campus in Groenlo at least two days per week.