20 beste vacatures voor de functie van data science in botlek (nieuwe medewerkers gezocht)

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Functional Documentation & Specifications – Internship
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Good Company —Den Haag
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- Oracle
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Snel solliciteren
Software Developer (VBA developer with Python skills)
ARHS —Den Haag
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- Microsoft Excel
- Microsoft Access
- Azure
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Lead Data Engineer
IQVIA —Den Haag
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Consultant Data Engineer
Sia —Rotterdam
- Fulltime
- Hybride werken
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Snel solliciteren
stage Onderzoek en Ontwikkeling RAG-systeem
Politie —Zoetermeer
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23 uur
Vacature: GenAI Engineer - Assetization Team - View vacancy
Bekijk bedrijf: Nationale-Nederlanden —Den Haag
- € 4.527 - € 6.036 per maand
- Fulltime
- Azure
- Informatica
- DevOps
Sr. Data Engineer
Good Company —Rotterdam
- Online sollicitatie
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Senior integratie engineer
SBB —Zoetermeer
- € 4.361 - € 6.379 per maand
- Online sollicitatie
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Analytics Engineer
Crystalloids —Rotterdam
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Stagiair AI Fairness & Ethics
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- Engels
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Medior Data Engineer – Databricks & Lakehouse Platform (Cloud)

Fugro -
Nootdorp

Nu solliciteren

Vacaturegegevens

Fulltime

Secundaire arbeidsvoorwaarden

Collectieve zorgverzekering
Zorgverzekering
Pensioen
Werk vanuit huis
Mentale gezondheidszorgprogramma's
Flexibele werkuren

Kwalificaties

CI/CD
Azure
Spark
Google Cloud Platform
SQL
Analytisch vermogen
Unity
Zakelijke vereisten
Python

Volledige vacaturetekst

Location

- Nootdorp, Netherlands

Stage

Experienced Level

Time

Full time

Type

Employee

Place

Hybrid

Job Description

Fugro is a global leader in Geo‑data, building a modern cloud‑based lakehouse platform on Databricks to unlock high‑quality, governed data at scale. As we accelerate our digital transformation, we are looking for a hands‑on Medior Data Engineer who enjoys building reliable cloud data pipelines, curating trusted datasets, and enabling analytics and AI across the organisation. You will work closely with engineering, analytics, data science and domain teams to deliver production‑grade data products that power Fugro’s global operations.

Your role

You design, build and maintain cloud‑native batch and streaming pipelines on Databricks using Lakeflow, Delta Lake and orchestration tools.
You implement the medallion architecture (bronze/silver/gold) to deliver trustworthy, performant datasets.
You develop transformations in PySpark and Spark SQL and help standardise reusable engineering patterns.
You take ownership of data quality, observability and operational reliability through validation, monitoring, alerting and runbooks.
You work with Unity Catalog to ensure governed access, documentation and lineage‑aware development.
You translate analytical and business requirements into scalable, pragmatic datasets that enable BI, analytics and AI.
You contribute to engineering best practices, including code reviews, testing approaches, CI/CD and cost‑efficient cloud usage.
You collaborate closely with platform, analytics and domain teams to deliver production‑ready data products end‑to‑end.

Your track record

You bring 3–6 years of experience in data engineering or equivalent experience delivering production‑grade cloud pipelines.
You have strong Python and SQL skills and hands‑on experience with Apache Spark on Databricks.
You have worked in at least one major cloud environment (AWS, Azure or GCP) and understand cloud storage and security concepts.
You are familiar with lakehouse principles, Delta Lake and incremental processing patterns.
You understand data governance concepts such as catalogs, permissions, lineage and data contracts (Unity Catalog is a plus).
You have experience with common ingestion patterns (files, APIs, databases) and know how to balance reliability, performance and cost.
You communicate clearly and collaborate effectively with engineers, analysts and business stakeholders.

What Fugro offers

A competitive salary;
29 holidays per year based on a fulltime employment (of which 4 are appointed by Fugro management) and the possibility to purchase 12 additional days;
Extensive career & training opportunities both nationally and internationally;
Flexible working hours and the ability to work from home in accordance with your manager and corporate policies;
Commuting allowance;
Modern pension scheme;
Collective health insurance;
Possibility to register with our corporate fitness plan;
Coaching options through our EAP (Employee Assistance Program).

Are you interested?

Please visit our Company Page to find out more on what it is like to work at Fugro.

If you have any further questions, please contact Umit Nesar, Corporate Recruiter, tel. +31 (0)6 -81 41 07 68

Afteryouhaveapplied

You will receive an automated confirmation-email of the receipt of your application;
When we see a match, we will invite you for the first interview within a couple of days. Of course, you will also receive a message if we will not invite you;
After a successful first round, you will be invited for the second round;
If we are both still positive after the second interview, we will make you an offer and with that we hope to welcome you at Fugro!

Disclaimer for recruitment agencies:

Fugro does not accept any unsolicited applications from recruitment agencies. Acquisition to Fugro Recruitment or any Fugro employee is not appreciated**.**

For more information

Umit Nesar

Talent Acquisition Partner

Nu solliciteren

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data science vacatures in botlek

Medior Data Engineer – Databricks & Lakehouse Platform (Cloud)

VIE _ Consultant Digitalisation & Automatisation Finance / Tax (H/F)_Pays-Bas

(Senior) Scientist AI/ML for Protein and Metabolic Engineering

AI Product Engineering – Internship

Data Engineer

Werkstudent AI (16 - 24 uur)

AI Software Engineer

Functional Documentation & Specifications – Internship

Data Engineer

AI Product Engineering – Stage

AI Engineer

Software Developer (VBA developer with Python skills)

Lead Data Engineer

Consultant Data Engineer

stage Onderzoek en Ontwikkeling RAG-systeem

Vacature: GenAI Engineer - Assetization Team - View vacancy

Sr. Data Engineer

Senior integratie engineer

Analytics Engineer

Stagiair AI Fairness & Ethics

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van data science in botlek

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