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
Partial Discharge Data Scientist
Optics11 —Amsterdam-Zuidoost
- Fulltime
- Doctor
- Engels
- Master
Snel solliciteren
Senior Software Engineer, Windows/Desktop Applications - Amsterdam, Netherlands
Speechify —Amsterdam
- € 30.000 - € 120.000 per jaar
- Thuiswerk
- Doctor
- Windows
- C++
10 dagen
Software Engineer, Platform - Amsterdam, Netherlands
Speechify —Amsterdam
- € 30.000 - € 120.000 per jaar
- Thuiswerk
- Azure
- Doctor
- AWS
1 dag
IT Business Analyst - Netherlands
BYD Europe —Hoofddorp
- Fulltime
- Informatica
- ERP systemen
- Engels
EW DevOps Engineer Supervising Associate (F/M/D)
EY —Amsterdam
- Azure
- Troubleshooting
- DevOps
Senior SAP Data Analytics Engineer
Booking.com —Amsterdam Centrum
- Fulltime
- Hybride werken
- SQL
- Analytisch vermogen
- Agile
Staff Software Engineer
Warner Bros. Discovery —Amsterdam
- Fulltime
- JavaScript
- Communicatieve vaardigheden
Data engineer - Compliancy & Insights platform
Albert Heijn —Zaandam
- Tot € 107.000 per jaar
- Online sollicitatie
- Azure
- SQL
- Bachelor
- Reiskostenvergoeding
- Flexibele werkuren
2 dagen
Senior Data Scientist I
Elsevier —Amsterdam
- € 53.800 - € 89.900 per jaar
- Fulltime
- Azure
- Doctor
- Informatica
- Flexibele werkuren
SAP Data Analytics Engineer II
Booking.com —Amsterdam Centrum
- Fulltime
- Hybride werken
- SQL
- Magazijn
- ICT
7 dagen
Site Reliability Engineer
HeadFirst B.V. —Hoofddorp
- € 6.000 - € 8.500 per maand
- Fulltime
- Hybride werken
- Azure
- DevOps
- Bachelor
Snel solliciteren
Insider Risk Program Coordinator
Control Risks —Amsterdam
- Analytisch vermogen
- Bachelor
- Financiële diensten
Snel solliciteren
Consultant | Data Engineer | Public Sector
Amsterdam Data Collective —Amsterdam
- Fulltime
- Hybride werken
- Azure
- Engels
- Master
Snel solliciteren
Lead Dynatrace Monitoring Consultant
Atos —Amsterdam
- Fulltime
- Hybride werken
- DevOps
- Analytisch vermogen
- Linux
- Reiskostenvergoeding
- Budget voor professionele ontwikkeling
Chief Financial Officer (CFO)
RIFT Development B.V. —Amsterdam
- Fulltime
- Hybride werken
- Financiën
- Master
- Analytisch vermogen
Snel solliciteren
Senior Data Engineer
Garanti BBVA International —Amsterdam Centrum
- Online sollicitatie
- Hybride werken
- Microsoft Excel
- Microsoft Access
- Azure
- Zorgverzekering
Developer - Netherlands
Laterite —Amsterdam Centrum
- € 33.830 - € 40.000 per jaar
- Fulltime
- DevOps
- Engels
- Master
Snel solliciteren
14 dagen
(Senior) Manager Anaplan - Finance Transformation
Deloitte —Amsterdam Zuid
- Parttime
- Hybride werken
- Oracle
- Bachelor
- Budgettering
- Winstdeling
- Zorgverzekering
Consultant | Machine Learning Engineer | Public Sector
Amsterdam Data Collective —Amsterdam
- Fulltime
- Hybride werken
- Informatica
- Azure
- Engels
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

Partial Discharge Data Scientist

Senior Software Engineer, Windows/Desktop Applications - Amsterdam, Netherlands

Software Engineer, Platform - Amsterdam, Netherlands

IT Business Analyst - Netherlands

EW DevOps Engineer Supervising Associate (F/M/D)

Senior SAP Data Analytics Engineer

Staff Software Engineer

Data engineer - Compliancy & Insights platform

Senior Data Scientist I

SAP Data Analytics Engineer II

Site Reliability Engineer

Insider Risk Program Coordinator

Consultant | Data Engineer | Public Sector

Lead Dynatrace Monitoring Consultant

Chief Financial Officer (CFO)

Senior Data Engineer

Developer - Netherlands

(Senior) Manager Anaplan - Finance Transformation

Consultant | Machine Learning Engineer | Public Sector

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

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