20 beste vacatures voor de functie van data engineer in gemeente velsen (nieuwe medewerkers gezocht)

Junior Data Engineer
BUX —Amsterdam Centrum
- Hybride werken
- SQL
- APIs
- Python
Snel solliciteren
3 dagen
Databricks Data Engineer
Deloitte —Amsterdam
- Parttime
- Hybride werken
- Engels
- Master
- SQL
- Bedrijfsfitness
- Flexibele werkuren
Analytics Engineer, Marketing DSA
Vinted —Amsterdam
- € 53.900 - € 72.900 per jaar
- Hybride werken
- Engels
- SQL
- Communicatieve vaardigheden
- Mentale gezondheidszorgprogramma's
- Budget voor professionele ontwikkeling
3 dagen
Data Scientist
de Bijenkorf —Amsterdam
- € 3.943 - € 5.632 per maand
- Fulltime
- Master
- SQL
- Python
- Productkorting werknemers
- Winstdeling
(Data) Machine Learning Engineer
Good Company —Amsterdam
- Online sollicitatie
- Azure
- DevOps
- Databases
- Winstdeling
- Reiskostenvergoeding
Machine Learning Systems Engineer, Ads ML Platform
Reddit —Amsterdam
- Thuiswerk
- Bediening
Snel solliciteren
Data Engineer
Digital Sundai —Amsterdam
- Azure
- Engels
- Java
- Reiskostenvergoeding
- Flexibele werkuren
Network Engineer II - ( Data Centre)
Booking.com —Amsterdam Centrum
- Fulltime
- Hybride werken
- ICT
- Linux
- Python
- Verhuisvergoeding
AI- en Data Science Engineer
IntoData —Amsterdam
- Azure
- AWS
- Bachelor
- Werk vanuit huis
- Flexibele werkuren
Senior Data Scientist I
Elsevier —Amsterdam
- € 53.800 - € 89.900 per jaar
- Fulltime
- Azure
- Doctor
- Informatica
- Flexibele werkuren
Senior Data Center Engineer
OpenText —Amstelveen
- Engels
- Analytisch vermogen
- Zonder diploma
Lead Data Scientist, Revenue - Ads, Revenue
Vinted —Amsterdam
- € 86.600 - € 127.400 per jaar
- Hybride werken
- Engels
- SQL
- Analytisch vermogen
- Mentale gezondheidszorgprogramma's
- Budget voor professionele ontwikkeling
Vacature - Senior Data Engineer
DataVibes —Amsterdam
- € 4.200 - € 6.800 per maand
- Azure
- DevOps
- SQL
- Reiskostenvergoeding
Senior Data Scientist
Effectory —Amsterdam Centrum
- € 70.000 - € 100.000 per jaar
- Fulltime
- Hybride werken
- Azure
- DevOps
- Master
- Budget voor professionele ontwikkeling
- Flexibele werkuren
Snel solliciteren
Senior Data Engineer
Full Orbit —Haarlem
- Fulltime
- Hybride werken
- Azure
- SQL
- AWS
Snel solliciteren
Data Engineer
JINGDONG RETAIL (UK) LIMITED —Amsterdam
- Azure
- Informatica
- Engels
Snel solliciteren
Senior Data Engineer
TomTom —Amsterdam
- Fulltime
- Hybride werken
- Azure
- Informatica
- DevOps
- Budget voor professionele ontwikkeling
Snel solliciteren
Consultant | Data Engineer
Amsterdam Data Collective —Amsterdam
- Fulltime
- Hybride werken
- Azure
- Master
- Financiële diensten
Snel solliciteren
Principal Software Engineer I - Marketplace Data & AI
Booking.com —Amsterdam Centrum
- Fulltime
- Hybride werken
- Master
- Softwareontwikkeling
- AI
- Mentale gezondheidszorgprogramma's
10 dagen
Data Scientist (ML & Statistical Modelling)
Pacmed —Amsterdam Centrum
- Fulltime
- Hybride werken
- Informatica
- Azure
- Engels
- Telefoonplan

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Junior Data Engineer

BUX
Amsterdam Centrum

Snel solliciteren

Vacaturegegevens

3 dagen geleden

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.

How we hire

To learn more about our approach to hiring and how to prepare for your interviews, check out our How we hire section.

Adjustments for the hiring process

We want you to feel empowered to show your best self during the application process. If there's anything we can do to accommodate you better (interview timing, place, etc), please let us know in your application form.

Benefits

Read more here about the benefits and perks you receive when you join BUX.

BUX for everyone

At BUX, we’re committed to making investing accessible and affordable for everyone through our intuitive app. We believe that a diverse team with a range of backgrounds, skills, and perspectives is key to achieving this mission. By embracing diversity, we strengthen our ability to innovate and serve our customers better.

To fully benefit from our diversity, it’s essential that everyone feels safe, included, and valued. We are dedicated to creating a workplace where each of us can bring our full selves to work and contribute to our shared goals.

Snel solliciteren

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data engineer vacatures in gemeente velsen

Junior Data Engineer

Databricks Data Engineer

Analytics Engineer, Marketing DSA

Data Scientist

(Data) Machine Learning Engineer

Machine Learning Systems Engineer, Ads ML Platform

Data Engineer

Network Engineer II - ( Data Centre)

AI- en Data Science Engineer

Senior Data Scientist I

Senior Data Center Engineer

Lead Data Scientist, Revenue - Ads, Revenue

Vacature - Senior Data Engineer

Senior Data Scientist

Senior Data Engineer

Data Engineer

Senior Data Engineer

Consultant | Data Engineer

Principal Software Engineer I - Marketplace Data & AI

Data Scientist (ML & Statistical Modelling)

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van data engineer in gemeente velsen

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