Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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€66к-84к/год
€48к€67кмедиана€75к
По похожим ролям (15) ~ €67к/год
Прикинули из €5.5к-7к/мес × 12
На СНГ рынке: $3.7к/мес ($3к - $4.3к)
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Хорошая вакансия
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Чётко описанная роль senior-уровня, современная платформа данных на Azure и конкретные условия делают вакансию сильной; гибридный формат в Амстердаме ограничивает выбор места работы.
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Привязка к локацииАктуальный стекПонятная рольСильные условияФинансовые технологии
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer – Investment Management (Azure): Building and continuously improving investment and sustainability data products and pipelines for an analytics platform with an accent on Python, SQL, PySpark, Azure, and data quality. Focus on designing reusable data models, improving platform reliability and observability, and translating investment and risk requirements into production-ready solutions.
Location: Amsterdam, Netherlands; hybrid working. The role is available for 32–40 hours per week and allows working abroad for up to 2 months per year.
Salary: gross monthly salary of €5,500–€7,000, depending on knowledge and experience.
Company
hirify.global is an established investment management organisation with nearly 300 years of experience and approximately 2,300 colleagues, combining financial expertise with data-driven and sustainable decision-making.
What you will do
Build and continuously improve reliable data products, pipelines, transformations, and components for investment and sustainability data.
Design data models that turn complex data into structured, reusable datasets.
Improve the reliability, performance, observability, and maintainability of the data platform.
Contribute to engineering standards, architecture, technology choices, and software-development practices.
Collaborate with investment, risk, reporting, and engineering specialists to translate business needs into technical solutions.
Requirements
Bachelor’s or master’s degree in computer science, data science, mathematics, engineering, finance, or a related field, or equivalent professional experience.
Approximately five years or more of relevant data engineering experience; software engineering experience is nice to have.
Strong programming skills in Python and SQL.
Familiarity with distributed data processing, such as PySpark or an equivalent technology.
Understanding of data modelling, data quality, and automated testing principles.
Experience with cloud-based data platforms; Azure and Databricks experience is particularly relevant.
Comfort working with Git, CI/CD, and modern software-development practices.
Ability to take ownership from solution design and development through production, collaborate with engineers and business specialists, and continuously improve technology and team practices.
Nice to have
Experience with investment, financial, or sustainability data is valuable but not essential.
Software engineering experience.
Culture & Benefits
Collaborative environment where business and technology work together, combining start-up dynamics with the stability of an established organisation.
Flexible working hours and a hybrid way of working.
Flexible budget of 19.47% of gross salary, including a 13th month and holiday allowance.
27 leave days, with flexibility to adjust them via the budget, plus an excellent pension scheme.
Training opportunities and the possibility to attend conferences.
Employment benefits include the possibility to work abroad for up to 2 months per year.
Hiring process
Apply via the Career Website.
Questions can be directed to Anna Skorobohata, Recruiter, via a.skorobohata@vanlanschotkempen.com.
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