Senior Specialist, Data Science

Every year, we help hundreds of thousands of people find rewarding jobs in the ever-changing world of work.

We understand the importance of a job in peoples lifes and we want to help them find work that feels good. And we’ll help them continue to grow as their needs and ambitions change.

At Randstad, our value comes from our people and that is why we put them first. We are proud of our learning culture and career architecture framework that encourages ours team to develop both personally and professionally.

We believe that talent grows when presented with opportunity and this is why we encourage our people to think beyond their role. We have created a culture that enables talent to flourish, encouraging entrepreneurship, fostering team spirit, and continually building mutual trust.

your key responsibilities include

as FinOps database automation engineer:

● Data foundation & architecture: Own the FinOps data foundation model end-to-end.

Design, build, and optimize production data pipelines from ingestion to consumption

within a hybrid/multi-cloud architecture.

● Automation & integration: Establish automated API integrations between SaaS tools,

financial platforms and other sources like our CMDB to centralize billing and usage data.

● Cross-functional collaboration: Partner closely with FinOps Engineers, Service

Owners, Technical Account Managers, Cloud Architects, and Finance department to

translate financial requirements into technical data solutions.

● Continuous improvement: Continuously scale the data foundation by adding new data

sources, optimizing query performance (normalization/indexing), and enforcing strict data

quality standards.

your background

requirements & qualifications

● Experience: 5+ years of experience as a Data Engineer, Big Data Engineer, or in a

closely related technical role.

● Collaboration: Proven ability to work effectively in ambiguous or changing situations

and collaborate seamlessly across diverse individuals and global teams

● Data Engineering & automation: Architect, build, and optimize scalable database

models using Python and SQL, streamlining data pipelines and improving query

performance.

● Cloud & Infrastructure: Hands-on experience with GCP (e.g. BigQuery/Cloud Run

Function/Cloud storage)

● APIs & DevOps: Proven experience building RESTful API integrations and using

automated testing pipelines (Gitlab)

● Education: Bachelor’s or Master’s degree in Computer Science, Informatics, or

equivalent practical experience.

nice-to-haves

● FinOps certification

● GCP or AWS certifications

● Working knowledge within IT financial management or cloud cost optimization practices

● Data visualization knowledge (e.g. Tableau/Looker)

professional competencies

● Excellent written and verbal communication skills with the ability to convey complex

technical data to non-technical stakeholders.

● Structured, analytical problem-solver who thrives in dynamic environments.

● Strong attention to detail and a persistent drive for data accuracy and quality.

Is this the job for you? We would love to hear from you! Please apply directly to the role and we will get in touch with you.