Do you enjoy solving complex data issues? Do you enjoy delving into the
latest developments relating to data and the Cloud, as much as we do? Does it
please you when awesome, innovative projects come to a successful close? In
that case, we’d love to get in touch with you!
Organisatie- en afdelingomschrijving
In so doing, we support organisations in building lasting relationships
with their clients, so that customer value increases and bottom-line results
improve, not only in the short-term but especially in the long-term.
We have acquired a very respectable client portfolio over the years. Our
clients operate in market segments like retail, media, telecom, finance and
insurance and are based in the Netherlands and in other European countries: Ahold
Delhaize, ABN AMRO, Body & Fit, CenterParcs, de Bijenkorf, HEMA, KNVB,
Manutan, Sanoma, Tommy Hilfiger, Triodos Bank, TUI/KRAS, Wolters Kluwer,
As a Data Engineer, you’ll work with us in the office in Amsterdam or on
location with our clients. In so doing, you’ll become a member of our DataOps
team, where the requesting and supplying sides of the data loop work together.
This could include Data Engineers, DataOps Engineers, Data Analysts and Data
Scientists. Our DataOps methodology is inspired by a few initiatives like Agile
Development, DevOps and Lean Manufacturing.
As part of the DataOps team, you’ll help our clients process and make
structured and unstructured data available in batches or in real-time. You’ll
give our clients insight into the problems related to data architecture. You’ll
be able to convert these problems into appropriate solutions and will
preferably use Amazon Web Services to design and implement these solutions.
Your main tasks will include:
● Advising our clients about possible appropriate solutions;
● Converting epics, user stories and product backlog items to specific tasks;
● Setting up, building and optimising databases like RedShift, Microsoft SQL
● Modelling complex client data;
● Setting up and building ETL processes.
We help more and more clients transfer their client data to the Cloud, and,
therefore, are often busy with consulting processes and migrations to the
Cloud. Our office in Amsterdam mainly focuses on Amazon Web Services. In other
words, experience with migrations to the Cloud is a major advantage. We use
KNIME, SAS or SPSS is always welcome.
The ideal candidate has the following background:
● University or academic education; preferably in Computer Science or
● At least three years of relevant work experience;
● Experience with Amazon Web Services;
● Experience building Data Warehouses and Data Marts;
● Possibly experience with other Cloud platforms like Microsoft Azure or Google
● Possibly experience in setting up and using Hadoop, Apache Spark or Elastic
environments or other Big Data frameworks.
We challenge each other during our knowledge sessions every 6 weeks, which
is also where we share our success stories and pitfalls. We consider sparring
on contextual matters, working hard together, and, above all, having lots of
fun together, important. For this reason, our knowledge sessions always end
with casual drinks and with us going out together for something to eat.
Apart from a competitive market-based salary, we also offer an interesting
bonus- and pension scheme, 25 paid days off, a laptop, a travel expense
allowance, Friday afternoon drinks and various (informal) outings per year.
036 53 057 20