Data-engineer

Likemymind Netherlands B.V.; Amsterdam; Hybrid; EUR 70,000 - 100,000; Full time

Job summary

Likemymind Netherlands B.V. seeks a Senior Data Engineer to design, build and maintain robust data infrastructures and pipelines for financial data insights.

You will optimize systems, ensure data quality and security, and enable data-driven decisions by delivering scalable data products. The role collaborates with a motivated team in an innovative environment where learning and development are encouraged.

Qualifications

• Several years of work experience with data management, programming and data infrastructure.
• Formal education in a technical field is required (HBO or university level).
• Certifications may compensate for lower formal education in some cases.

Responsibilities

• Design data pipelines to collect, transform and analyze data from multiple sources.
• Develop, implement and maintain robust data infrastructures and data products.
• Optimize existing data systems to improve efficiency, quality and security.

Skills

Data management

Programming

Data infrastructure

Education

HBO or university education in a technical field

Fields like Computer Science / Mathematics / Data Science

Job description

(Data-engineer) As a Senior Data Engineer, you get the chance to play a crucial role. In this challenging position, you are responsible for developing, implementing and maintaining robust data infrastructures that are essential for efficiently managing data ecosystems. You will work daily in an innovative environment where technology and data analysis go hand in hand. Your tasks include designing data pipelines that collect, transform and analyze data from various sources. This enables the organization to quickly and effectively gain insight into important financial data. Additionally, you are also responsible for optimizing existing systems, thereby contributing to the overall efficiency of data processes. What makes this position particularly interesting is the ever-growing demand for data-driven decisions within the sector. You have the opportunity to directly influence strategic business decisions by delivering reliable and scalable data products. The challenges you face are diverse: from managing large amounts of data to ensuring data quality and security. This requires not only technical skills, but also creative problem-solving abilities. You work together with a team of enthusiastic professionals in an inspiring work environment where innovations are encouraged. You have access to the latest tools and techniques, and get the chance to continuously learn and develop yourself. If you have a passion for data and want to use it to improve financial processes, then this role is perfect for you! Develop your career in a sector that is always in motion and play a key role in the future.

Required Education

For a position as Senior Data Engineer, you typically need an HBO or university education in a technical field such as Computer Science, Technical Computer Science, Mathematics or Data Science. If you want to progress from HAVO/VWO to a relevant follow-up education, the Nature & Technology (N&T) profile is most suitable, with mathematics and computer science being particularly important subjects. Besides formal education, several years of work experience with data management, programming and data infrastructure is essential for a senior position. In some cases, extensive practical experience combined with relevant certifications can compensate for lower formal education.

Required Skills

As a beginning data engineer, you often start as a junior developer, data analyst or database specialist to build technical skills. From a senior data engineer position, you can grow to lead data engineer, data architect or even head of data, where you lead teams and make strategic decisions. The logical steps are from technical execution to team leadership and ultimately to strategic management of data infrastructure. The field has excellent prospects due to the explosive growth of big data and AI applications in virtually all sectors.

AI Impact on the job

AI transforms the role of the data engineer through automation of data processing and analysis tasks. Advanced AI tools require skills in machine learning, data integration and cloud technology, alongside traditional programming knowledge. Given the increasing demand for data analysis and AI-driven solutions, prospects for data engineers remain positive, but they must continue to upskill to remain relevant in an increasingly automated environment.

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