Data Engineer

We help more and more clients transfer their client data to the Cloud, and,therefore, are often busy with consulting processes and migrations to theCloud. Our office in Amsterdam mainly focuses on Amazon Web Services. In otherwords, experience with migrations to the Cloud is a major advantage. We usePython, Java, R and SQL extensively. Knowledge of PySpark, JavaScript, node.js,KNIME, SAS or SPSS is always welcome.

• University or academic education; preferably in Computer Science orSoftware Engineering;

• 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 GoogleCloud;

• Possibly experience in setting up and using Hadoop, Apache Spark or ElasticSearch environments or other Big Data frameworks.

Apart from a competitive market-based salary, we also offer an interestingbonus- and pension scheme, 25 paid days off, a laptop, a travel expenseallowance, Friday afternoon drinks and various (informal) outings per year.

Ga jij voor succes? Werken voor Your Professionals betekent een boost voor je carrière. Dagelijks werken onze professionals voor toonaangevende opdrachtgevers. Bedrijfsomschrijving In so doing, we support organisations in building lasting relationshipswith their clients, so that customer value increases and bottom-line resultsimprove, not only in the short-term but especially in the long-term. We have acquired a very respectable client portfolio over the years. Ourclients operate in market segments like retail, media, telecom, finance andinsurance and are based in the Netherlands and in other European countries: AholdDelhaize, ABN AMRO, Body & Fit, CenterParcs, de Bijenkorf, HEMA, KNVB,Manutan, Sanoma, Tommy Hilfiger, Triodos Bank, TUI/KRAS, Wolters Kluwer,Youfone., As a Data Engineer, you'll work with us in the office in Amsterdam or onlocation with our clients. In so doing, you'll become a member of our DataOpsteam, where the requesting and supplying sides of the data loop work together.This could include Data Engineers, DataOps Engineers, Data Analysts and DataScientists. Our DataOps methodology is inspired by a few initiatives like AgileDevelopment, DevOps and Lean Manufacturing. As part of the DataOps team, you'll help our clients process and makestructured and unstructured data available in batches or in real-time. You'llgive our clients insight into the problems related to data architecture. You'llbe able to convert these problems into appropriate solutions and willpreferably 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 SQLServer and DynamoDB; * Modelling complex client data; * Setting up and building ETL processes.