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Sr. Data Senior at Macee

unlimited holidays - extra holidays - extra parental leave - long remote period allowed
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

BSc or MSc in relevant field, 4+ years of data-driven solutions experience, Strong Python/Scala and Kafka expertise, Proficiency with Spark, Azure, DevOps technologies.

Key responsabilities:

  • Design, implement, test cloud-based data applications
  • Collaborate within cross-functional teams for optimal technical solutions
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Macee SME https://www.macee.com/
51 - 200 Employees
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Job description

Vacancy Details
  • Educational Level: HBO
  • Hours Per Week: 40
  • Career Level: Experienced

JOB Description:

Royal Schiphol Group brings the world within reach. They connect the Netherlands with the rest of the world, creating value for the economy and society. Achieving this involves over 2,000 employees working 24 hours a day, 7 days a week. The ambition is to develop Schiphol into Europe's best Airport, both for passengers and for airlines. Innovation is key to achieving this ambition.

Department:

Within Data & Analytics department (D&A) we need a strong center of excellence for data and data analytics, which are the driving force behind a data-driven culture, data governance & quality frameworks, the BI function, and the close connection with IT on a future-proof data infrastructure.

The DSEL team (Data Science and Engineering Lab) is a team of data scientists and data engineers within D&A, whose primary purpose is to help Schiphol become the worlds best digital airport by building data products and services based on machine learning models and robust data engineering.

What will you do as a Senior Data Engineer:

As a Data Engineer at one of the world's premier airports, you will help us build this production-grade cloud environment. You will work together with architects, data scientists, and business owners to build and manage data solutions atop a cloud data lake and analytics environment. You'll be responsible for the design, implementation, testing, and maintenance of data products on Microsoft Azure. You will work closely together with various (internal) business stakeholders and data scientists. You see yourself as a senior engineer, with extensive programming experience, and have the willingness to help other engineers and take ownership of the project.

Your main activities will be:
  • Identify the technical needs of the AI team;
  • Improve software development lifecycle
  • Design, implement, and test cloud-based (Azure) data-intensive applications;
  • Convert data product prototypes to data products.
  • Collaborate with other Senior Engineers and Data Architects to provide optimal technical solutions

About the teams & projects:

As Senior Engineer, you'll be a member of a scrum team that consists of engineers, data scientists, and a product owner. In total, the DSEL team consists of 20 people, of which 6 are data engineers. You should expect to work on the development, testing, and improvement of data pipelines related to some of Schiphols major AI models. 

Some examples include:

  • A deep-learning-based event-detection system that processes camera images to give us insight into what is going on in the turnaround process.
  • A system that predicts passenger flows through the terminal for the coming hours using a network of sensors measuring the current flow and flight events.
  • Real-time routing of buses on the airfield using tracking data of these buses.

Working as a Senior Engineer at Schiphol offers a wide variety of challenges. Schiphol is a city of its own and that is reflected in the variety of data sources you'll work with ranging from radar data to web visits. Also, it is one of the few places in the Netherlands where you can literally look out of the window and see your software have a direct impact.

In terms of tooling, they work on Azure. Some examples of components in the stack include Scala/Python, Airflow, Kafka, Kubernetes, and Spark (Databricks).

Your added value:

As a next-generation professional, you have a clear vision, courage, and focus. Innovation and agile working are an absolute priority. You improve yourself every day so that you can be the best. You are introspective and resilient. You believe that creating a good atmosphere is essential for a successful, respectful, and welcoming workplace. They are still a small team so will be looking for a real click/connection. Your natural approachability enables you to connect with people. You are passionate about your work, and are curious and open to new developments, with a mindset keyed to possibilities and opportunities. If you meet the below requirements, then they look forward to receiving your application.

Requirements:

  • You have a BSc or MSc in a relevant field (e.g. Computer Science, Mathematics, etc.)
  • You have at least4year of experience running data-driven solutions, including deployment and management of data pipelines in production.
  • Strong Python/Scala experience, we would prefer someone with 2+ years of hands-on experience with at least, one of these two.
  • Professional experience with Kafka (or Azure EventHub).
  • Professional experience with Spark, implementing both batch and streaming pipelines.
  • You recognize the importance of logging and monitoring (they currently use Splunk and Open Telemetry).
  • You have at least one year of experience with Microsoft Azure (AWS and GCP are fine too).
  • You are comfortable working with the latest DevOps technologies i.e., Kubernetes, Docker;
  • Professional experience with Scrum.
  • You are fluent in English. Knowledge of the Dutch language is a plus.

Does this sound interesting to you? Then don't delay, APPLY NOW!!!

Contact person details:

Angie Hollink | Account Manager | a.hollink@macee.com

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
Check out the description to know which languages are mandatory.

Other Skills

  • Resilience
  • Proactivity
  • Confident Communicator
  • Open Mindset
  • Curiosity

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