20 beste vacatures voor de functie van deployment (analytics) in amsterdam, nh (nieuwe medewerkers gezocht)

Junior Data Engineer
BUX —Amsterdam Centrum
- Hybride werken
- SQL
- APIs
- Python
Snel solliciteren
IT Business Analyst
BYD Europe —Hoofddorp
- Fulltime
- Informatica
- ERP systemen
- Engels
Senior SAP Data Analytics Engineer
Booking.com —Amsterdam Centrum
- Fulltime
- Hybride werken
- SQL
- Analytisch vermogen
- Agile
Internship: Partner Program Operations
Philips —Amsterdam
- € 500 - € 700 per maand
- Fulltime
- Microsoft Excel
- Engels
- Master
Data engineer - Compliancy & Insights platform
Albert Heijn —Zaandam
- Tot € 107.000 per jaar
- Online sollicitatie
- Azure
- SQL
- Bachelor
- Reiskostenvergoeding
- Flexibele werkuren
10 uur
Chief Financial Officer (CFO)
RIFT Development B.V. —Amsterdam
- Fulltime
- Hybride werken
- Financiën
- Master
- Analytisch vermogen
Snel solliciteren
Developer - Netherlands
Laterite —Amsterdam Centrum
- € 33.830 - € 40.000 per jaar
- Fulltime
- DevOps
- Engels
- Master
Snel solliciteren
12 dagen
SAP Data Strategist - Netherlands
Infosys —Amsterdam
- Verkoopervaring
- Salesforce
- Analytisch vermogen
Forward Deployed AI Engineer-Anthropic-Netherlands/Western Europe
NewRocket —Amsterdam
- Thuiswerk
- Azure
- Master
- Databases
Snel solliciteren
6 dagen
DevOps Cloud Engineer (Azure & Databricks)
Vattenfall —Amsterdam
- Fulltime
- Azure
- DevOps
- Engels
- Werk vanuit huis
Snel solliciteren
6 dagen
Principal Data Engineer - Data & AI, Marketplace
Booking.com —Amsterdam Centrum
- Fulltime
- Hybride werken
- Informatica
- Engels
- Java
- Verhuisvergoeding
- Mentale gezondheidszorgprogramma's
Senior Cloud Performance Engineer
Clickhouse —Amsterdam
- Azure
- Java
- AWS
Vulnerability & Patch Management (Associate) Manager
Sia —Amsterdam Oost
- Fulltime
- Hybride werken
- Management
- DevOps
- Engels
Snel solliciteren
Senior Data AI Engineer
Effectory —Amsterdam Centrum
- € 70.000 - € 100.000 per jaar
- Fulltime
- Hybride werken
- Azure
- DevOps
- Engels
- Budget voor professionele ontwikkeling
- Flexibele werkuren
Snel solliciteren
Global Business Process Owner MES - Health
Reckitt —Schiphol
- ERP systemen
- AI
- Managementervaring
- Mentale gezondheidszorgprogramma's
Agentic AI Architect-Anthropic-Netherlands/EMEA
NewRocket —Amsterdam
- Thuiswerk
- Azure
- Management
- Informatica
Snel solliciteren
7 dagen
Dutch Speaking Google Ads Account Manager in Barcelona!
Ignite —Amsterdam
- € 23.876 per jaar
- Fulltime
- Hybride werken
- Troubleshooting
- Engels
- Kantoor
- Verhuisvergoeding
Snel solliciteren
2 dagen
Lead Data Engineer
IQVIA —Amsterdam
- Fulltime
- Hybride werken
- Bediening
- DevOps
- Engels
Director, International Pricing and Revenue Management
Domino's Corporate —Schiphol
- Fulltime
- Microsoft Excel
- Financiën
- Master
Snel solliciteren
Manager Service SGS
Alfen —Almere
- Hybride werken
- ERP systemen
- Engels
- Microsoft Office
Snel solliciteren

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Junior Data Engineer

BUX
Amsterdam Centrum

Snel solliciteren

Vacaturegegevens

Kwalificaties

Cloud architectuur
Kubernetes
Relationele databases
Git
SQL
Docker
Terraform
Continuous integration
GitHub
APIs
S3
Kafka
Python

Volledige vacaturetekst

We are looking for Junior Data Engineers to join our BUX team based in Amsterdam.

Our Data & AI team is a lean, international group of engineers dedicated to making BUX a truly data-driven fintech. We pride ourselves on being "platform-first", building tools that scale rather than just fixing one-off requests. We like automation, empowering our internal users, and serving our clients in the best way we can. We work closely with other internal and external stakeholders to ensure data is high-quality and actionable. Outside of the code, we’re a collaborative bunch who value open knowledge sharing, team lunches, and the occasional post-work drink in our hybrid office setup.

About the role

As a Junior Data Engineer at BUX, you will be a key builder of the analytics-ready data layer that powers our product decisions and business growth. You won't just write queries; you will build well-tested data ingestion scripts and transform raw data into high-quality, reliable data products. You will join the Data & AI team, collaborating closely with Analytics Engineers, Product stakeholders, and our Data Platform Engineers to leverage our scalable, self-service infrastructure safely. Your mandate focuses on execution and reliability: writing clean, testable code, owning the data quality of your pipelines, and documenting as you go. This is a role designed for growth, where curiosity, coachability, and an engineering-first mindset will serve as the foundation for your evolution into advanced analytics architecture or infrastructure-focused engineering tracks.

What you will do

Build Reliable Ingestions: Build and maintain robust data ingestion scripts to pull data from APIs, servers, or files into raw/staging tables. You ensure correct handling of retries, incremental/idempotent loads, and graceful error management.
Model with dbt: Grow our analytics-ready data layer by building and maintaining clean staging and mart models with clear naming, documentation, and automated tests, focusing on simplicity and readability before optimisation.
Support Orchestration: Extend and troubleshoot our existing workflow orchestration frameworks (Airflow). You will add tasks to existing DAGs, fix failing runs, and grow into mastering dependency, scheduling, and retry behaviour.
Champion Data Quality: Own pipeline and model health by adding and monitoring data quality checks (freshness, volume anomalies, null/duplicate validations) and investigating data discrepancies flagged by different stakeholders.
Document & Accelerate: Write clean code, maintain useful READMEs, and leverage AI-assisted development tools to speed up drafting while taking full ownership of verifying correctness before pushing to production.
Grow your ownership: Build a solid track record with data modelling, testing, and pipeline reliability as a foundation for growing into orchestration design, platform topics, and broader engineering responsibilities over time.

What you need to succeed

You have 1-2 years of experience in data engineering, analytics engineering, or a closely related discipline, with a track record of collaborative problem-solving.
Solid fundamentals in Python and SQL, alongside comfort with version control (Git), writing basic automated tests, and interacting with HTTP APIs.
General understanding of foundational cloud architecture and infrastructure concepts.
Practical, hands-on experience (e.g. using dbt) for structuring data transformation layers, including staging/mart layering, sources, tests, and documentation.
A clear grasp of workflow orchestration concepts (such as Airflow), understanding DAGs, task dependencies, scheduling, retries, and the importance of idempotency.
Comfortable working with relational databases or data warehouses (Postgres, Snowflake, or similar) to write queries, design schemas, and handle data quality issues like nulls, duplicates, and freshness checks.
You are curious and comfortable asking for help. You welcome constructive feedback and actively contribute to the team's code quality.
You bring the critical eye needed to rigorously test and verify all logic, including AI-assisted code, before deployment.

Nice to have

Familiarity with Docker and how applications run on Kubernetes (GKE).
Basic exposure to Terraform and understanding how cloud environments are provisioned as code.
Initial exposure to high-throughput messaging (Kafka, Pub/Sub) or working with cloud object storage frameworks (GCS, S3).
A basic understanding of continuous integration pipelines (like GitHub Actions) and the concept of how code changes safely transition from a local machine to a production environment.

Snel solliciteren

Verfijn je zoekopdracht

deployment (analytics) vacatures in amsterdam, nh

Junior Data Engineer

IT Business Analyst

Senior SAP Data Analytics Engineer

Internship: Partner Program Operations

Data engineer - Compliancy & Insights platform

Chief Financial Officer (CFO)

Developer - Netherlands

SAP Data Strategist - Netherlands

Forward Deployed AI Engineer-Anthropic-Netherlands/Western Europe

DevOps Cloud Engineer (Azure & Databricks)

Principal Data Engineer - Data & AI, Marketplace

Senior Cloud Performance Engineer

Vulnerability & Patch Management (Associate) Manager

Senior Data AI Engineer

Global Business Process Owner MES - Health

Agentic AI Architect-Anthropic-Netherlands/EMEA

Dutch Speaking Google Ads Account Manager in Barcelona!

Lead Data Engineer

Director, International Pricing and Revenue Management

Manager Service SGS

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van deployment (analytics) in amsterdam, nh

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