Google Senior Data Engineer
This role demands a Senior Data Engineer to architect and optimize end-to-end data pipelines on GCP, leveraging BigQuery, Dataflow, and Pub/Sub to solve complex business challenges while mentoring cross-functional teams. The candidate will collaborate closely with a Head of Data & Analytics and PMs to deliver high-impact, scalable solutions in a client-facing consulting environment.
Skills required
About this role
Your mission?
As a Senior Google Data Engineer, you will be responsible for the end-to-end design, implementation, and optimization of robust, scalable data pipelines and solutions primarily on Google Cloud Platform (GCP). You will translate complex business requirements into technical blueprints and lead the hands-on delivery of the data infrastructure.
Alongside Rik, our Head of Data & Analytics, you will sync with the customer and serve as the technical authority on how to best leverage GCP data services (like BigQuery, Dataflow, Cloud Composer, and Pub/Sub) to solve critical business challenges. You will constantly be supported by one of our PM’s in order to deliver best-in-class solutions and will be a key contributor within the Data Tribe, driving technical excellence and best practices.
!!! Important to know, if you are not a Google Data Engineer but an AWS Data Engineer or Azure Data Engineer and you really would like to learn and grow into a Google Data Engineer role, no problem we can train you !!!
Qualifications
Required to have? 🌟
- 2 to 3 years of experience in Data Engineering with a focus on building and maintaining large-scale, production-grade data pipelines.
- 5+ years of experience? Let your architecture skills and leadership shine.
- Deep, hands-on expertise with Google Cloud Platform (GCP) data services, including:
- BigQuery (advanced SQL, optimization, and administration)
- Cloud Composer/Airflow for workflow orchestration
- Pub/Sub for real-time data ingestion
- Expertise in Infrastructure as Code (IaC), specifically Terraform, for provisioning and managing GCP resources.
- Strong experience with CI/CD practices and tools (e.g., GitLab, Jenkins, Cloud Build).
- Expert proficiency in one or more programming languages used for pipeline development: Python (preferred), Golang, or Java.
- Proven ability to design and implement various data architectures (e.g., Data Lake, Data Mesh, Data Warehouse) on GCP.
- You are familiar with Agile & Scrum methodologies and can act as a technical leader in sprints.
- Demonstrated ability to mentor and coach more junior engineers, setting technical standards and conducting code reviews.
- You are proficient at communicating technical solutions to senior management and customers.
- You speak fluently English and preferably also French or Dutch.
Nice to have
- Relevant Google Cloud Professional Certification (e.g., Professional Data Engineer, Cloud Architect).
- Experience with advanced analytics tools like Vertex AI
- Knowledge of streaming technologies like Kafka
- Looker
Additional Information
What We Offer:
Benefits & Perks:
- A competitive salary, in line with your profile, that gets reevaluated every year.
- A flexible package of extra-legal advantages that include: a premium company car, a fuel card, meal vouchers, laptop, health insurance, group insurance, 32 vacation days, flex homeworking, phone plan, mobility budget, EOY bonus, …
- Get the possibility extra days off to learn French & Dutch.
- No micromanagement here, flexibility is one of our core values.
- Follow training at several Google locations and bootcamps & develop your soft- and hard skills.
- Work with a quite diverse portfolio from customers, from scale-ups/start-ups to SMEs to Large Enterprises.
- Play football, ping pong or even organize an in-house fitness workout with colleagues, the bill is covered.
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