Data Engineer
Amsterdam, Noord-Holland, Netherlands
10 uur geleden

Job description

Supporting our software developers and Data Scientists on data initiatives you will ensure the consistency of the data delivery architecture throughout our ongoing projects.


  • Create and maintain optimal data pipeline architecture
  • Assemble large, complex data sets that meet functional and non-functional business requirements
  • Identify, design, and implement internal improvements : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure "big data" technologies
  • Keep our data segregated and secure across national boundaries through multiple data centers and Azure regions
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
  • Work with stakeholders including the Executive, Product, Data, and Customer teams to assist with data-related technical issues and support their data infrastructure needs
  • Create data tools for analysts and data scientists that assist them in building and optimizing our product into an innovative industry leader
  • Requirements

    If you are a fast learner who thrives in challenging environments and has a creative yet pragmatic approach to problem-solving, read on!

  • A Master's degree in Computer Science or Software Engineering, or proven working experience with large volumes of data
  • Can design and implement a scalable real-time data processing pipeline using open source projects
  • Can maintain a codebase with multiple contributors and manage the release processes
  • Can develop solutions for managing structured (e.g. SQL Server, PostgreSQL, etc.), and unstructured / NOSQL (i.e. MongoDB, Hadoop, HBASE, etc.)
  • Has an eye for detail and can obtain the domain knowledge necessary to spot incorrect data early and deliver with quality
  • Proficient in Python, C#, Java, or Scala
  • Proficient in monitoring technologies such as Grafana or Prometheus
  • Proficient in build tools such as Maven or SBT
  • Experience / working knowledge of open source big data solutions such as Spark, Flink, Beam, HBase, Kafka, Cassandra, NiFi, etc.
  • Willingness to work across a diverse set of technologies, and ability to ramp up on new technologies quickly
  • Excellent written and verbal communication skills
  • Good understanding of relational databases
  • Basic understanding of functional programming and property-based testing
  • Knowledge of Azure, Google Cloud, or AWS
  • Experience with build / test automation
  • We are Connecterra :

    We build an AI that will impact the future of our planet.

    As a full-stack technology company, our engineering challenges range from designing hardware sensors to building a machine learning platform, a farmers’ assistant that can run a dairy farm more effective than a human.

    We call it Ida. She learns about the behavior of farmers and cows, then provides guidance on making better decisions.

    Join us to build an AI that has purpose.

    Learn more about us or check out our .

    The Tech Team

    The Connecterra Engineering and Tech Team is at the core of our company. We keep all systems running and build powerful housing for our AI to grow and learn.

    Most importantly, we are a key component in the company’s strategic development.

    We offer :

    Every day we work hard on making the world a better place, thus the happiness and well-being of our team members is important to us. Hence we offer :

  • An open minded and creative working environment
  • Competitive package
  • Flexible working hours and vacation policy
  • Fantastic office space in Amsterdam with a nice panoramic view
  • Tons of snacks and fruit, optional catered lunch plan
  • A fridge filled with special kinds of beer and drinks
  • Solliciteren
    Mijn E-mail
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