Data Engineer at Agrifirm developing data solutions for sustainable farming. Collaborating with cross-functional teams using Azure and Databricks in a hybrid work environment.
Responsibilities
Onderhouden van bestaande processen
Uitvoeren van datatransformaties en modelleren met dbt
Efficiënte code schrijven in Python
Verbinden van nieuwe datastromen
Ontwerpen, implementeren en onderhouden van schaalbare pipelines
Nauw samenwerken met Data Scientists om algoritmes en modellen in productie te nemen
Requirements
Minimaal vijf jaar relevante werkervaring
Must-have tooling ervaring: Databricks, dbt, Azure Data Factory
Ervaring in werken in een Agile/Scrum omgeving
Minimaal een bachelor diploma, bij voorkeur op het gebied van IT
Kennis van CI/CD
Benefits
Een uitgebreide introductieprogramma
Een bruto maandsalaris van €4.800,- tot €6.300,- afhankelijk van ervaring
Ongeveer 36 vrije dagen (23 vakantiedagen & 13 ATV op basis van een fulltime dienstverband)
Laptop en een iPhone
Goede secundaire arbeidsvoorwaarden
Uitgebreide ontwikkelingsmogelijkheden via onze Agrifirm Academy
Senior Data Engineer building scalable analytics platform in BigQuery for Trumid's fintech services. Focus on data modeling and governance to support analytics and reporting needs.
Data Engineer focusing on real - time data platform development to support pricing algorithms for Trumid. Collaborating with quantitative researchers and engineers in a dynamic fintech environment.
Software Engineer III at GHX working on Content Tooling with focus on data engineering and analytics. Collaborating in Agile environment to create and support data - intensive software solutions.
Consultant supporting the delivery of SAP Data Migration solutions across the region. Engaging in client workshops, analyzing data, and advising on migration best practices.
Data Engineer contributing to data pipeline development and GenAI experiments at a technology consulting firm. Collaborating on data visualization, automation, and documentation efforts for data projects.
Data Engineer analyzing datasets using SQL and Python, working closely with clients in a hybrid setup. Performing data analysis and collaborating with cross - functional teams.
Senior Data Engineer at QS specializing in designing and building high‑quality data assets. Working in a hybrid model, effectively contributing to international higher education analytics.
Senior Data Engineer designing and delivering scalable data pipelines at QS. Implementing data solutions to empower higher education analytics and insights.
Data Architect role focused on data transformation with a tech - forward team emphasizing architectural rigor. Hybrid position in Portugal with flexible work arrangements.