data engineer in fintech

Enfint

Amsterdam

On-site

EUR 60,000 - 90,000

Full time

2 days ago
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Benefits offered by this job

Flexible working hours
Конференции и обучение
Пенсионная программа
Работа за границей до 2 месяцев в год

Job summary

Van Lanschot Kempen ищет специалиста по data engineering в Амстердам/Роттердам для модернизации хранилища данных и подготовки к персонализированному маркетингу. Вы будете строить и поддерживать конвейеры данных в Azure, обеспечивая доступ к качественным данным коммерческому отделу.

Требуется опыт работы с Databricks, Azure, CI/CD и английский язык на уровне уверенного пользователя. Предлагаются гибкие рабочие часы, возможность обучения и участие в конференциях, а также сильная пенсионная

Qualifications

  • 3+ лет опыта full-time в data engineering
  • Опыт работы с Databricks для конвейеров данных
  • Свободное владение английским языком в устной и письменной форме

Responsibilities

  • Совершенствование коммерческого data warehouse и подготовка платформы к data-driven маркетингу
  • Формирование основы данных для персонализированного маркетинга
  • Разработка и поддержка data warehouse в Azure
  • Обеспечение высокого качества, надёжности и структуры данных для коммерческого отдела
  • Перевод бизнес- потребностей в масштабируемые data-решения
  • Улучшение персонализации и сегментации через data-решения
  • Создание устойчивых data-решений для анализа и взаимодействия с клиентами
  • Использование AI-приложений для поддержки профессиональной деятельности

Skills

Data engineering
Databricks
Azure data services
Azure DevOps
English proficiency

Tools

Databricks
Azure
CI/CD pipelines

Job description

Описание

Van Lanschot Kempen is a financial institution serving national and international clients through future- oriented, sustainable, and data-driven investment services. Evi is its online wealth manager, operating in a start-up-like environment from Amsterdam and Rotterdam.

Задачи
  • Modernise the commercial data warehouse and prepare the platform for data-driven marketing
  • Build the data foundation for smarter, more personal and more effective marketing
  • Develop and maintain the commercial data warehouse in Azure
  • Ensure that high-quality, reliable and well-structured data is available to the commercial department
  • Translate commercial and client needs into scalable data solutions
  • Improve relevance, personalisation and segmentation through data solutions
  • Create robust data solutions that help commercial teams understand, serve and engage clients
  • Enable future capabilities such as hyper personalisation and data-driven customer journeys
  • Ensure that solutions meet best practices for data quality, security, compliance and scalability
  • Build, optimise and monitor data ingestion and transformation pipelines
  • Develop and maintain data warehouses
  • Design future-ready data models supporting segmentation, campaign automation, analytics and hyperpersonalisation use cases
  • Bridge commercial stakeholders and technology teams by translating business needs into secure, scalable and impactful data solutions
  • Use AI applications to support professional activities
Требования
  • Minimum 3 years of full-time experience in data engineering
  • Expertise in Databricks for building, optimising and monitoring data ingestion and transformation pipelines
  • Strong hands-on experience with Azure data services and Azure DevOps, including CI/CD pipelines and infrastructure-aware delivery
  • A growth mindset and genuine interest in marketing, customer behaviour, personalisation and new data technologies
  • Good mastery of English, both oral and written
  • Nice to have: Experience developing and maintaining data warehouses and designing future-ready data models in a marketing, customer analytics or commercial data environment
Условия
  • Flexible budget of 19.47% of gross salary, including a 13th month, 8% holiday allowance and 7 extra legal leave days
  • MacBook or Dell with i9 processor and iPhone
  • Flexible working hours
  • Training opportunities and the possibility to attend conferences
  • Excellent pension scheme
  • Up to 2 months of working abroad per year
  • Possibility to exchange free national holidays for religious holidays
  • Other employment benefits
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