Voor één van onze klanten zijn we op zoek naar een
Data Engineer.
Opstartdatum: ASAP
Duurtijd: lange termijn opdracht
Locatie: regio Antwerpen & remote
Talenkennis: Engels
Job description
- Turn raw data into trustworthy analytical datasets, that decreases time to market towards insights and reduces the TCO of data consumption
- Manage these datasets (and the related data pipeline) as a product with all the responsibilities that comes with it:
- own a part of the data product roadmap, which we prioritize as a team on a quarterly basis to fuel the overall company roadmap & initiatives with analytics
- fit our data products with the overall data architecture, governance, standards & guidelines
- design, build & test our data products
…meeting the functional & non-functional requirements,
…meeting the high standards for data ingestion, processing & storage
…and applying the right level of trust (quality, privacy, security) for their purpose
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- communicate on a regular basis to our stakeholders to increase data product awareness & usage
- Strive continuously to reduce business as usual & keeping the lights on efforts through data innovation & automation…
- …freeing up time to co-create on our big value transformation cases together with data & analytics experts (like insights & reporting analysts, CRM, data scientists, application owners, functional/business analysts,…)
- Work in a young & dynamic team of analysts & engineers, operating in a self- organizing agile at company scale context and within a large internal & external data ecosystem
We are looking for
A passionate, motivated, proactive, eager to learn data enthusiast that says what’s what, works better together, can set things in motion and who is at his/her best in a very challenging, innovative, flexible & dynamic company, having:
- 5+ years of experience in a Data or Software Engineer role
- Ideally attained a graduate or master’s degree in computer science, informatics, information systems, statistics or another analytical oriented education.
- Experience in
- Designing, building, testing and optimizing data pipelines in a Data Warehousing / Business Intelligence / Data Mart … context
- ETL processes & tools (e.g. IBM InfoSphere Data Stage, DBT, …)
- Oracle SQL
- Working knowledge of below technologies is a plus:
Snowflake
AWS Redshift Step Functions, Cloudformation, S3, …
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- Methodologies as Agile Scrum, DevOps, …
- BI tools (Qlik Sense)
- Kafka, NiFi, Python, Java, Scala, …
- The Communications Logical Data Model (CLDM) of Teradata
- The right ethical mindset with regards to data privacy, security & governance
- Fluent in English. Dutch is a plus.