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Google Senior Data Engineer

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Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Design, implement and optimize scalable data pipelines primarily on GCP

  • Translate complex business requirements into technical blueprints

  • Lead hands-on delivery of the data infrastructure

  • Act as technical authority on GCP data services for customer challenges

  • Mentor junior engineers and conduct code reviews

From the employer’s posting
end-to-end design, implementation, and optimization of robust, scalable data pipelines and solutions primarily on Google Cloud Platform (GCP)
translate complex business requirements into technical blueprints
lead the hands-on delivery of the data infrastructure
serve as the technical authority on how to best leverage GCP data services
Demonstrated ability to mentor and coach more junior engineers, setting technical standards and conducting code reviews.

What you’ll bring

All qualifications

Core experience

  • 2 to 3 years of experience in Data Engineering with a focus on building and maintaining large-scale, production-grade data pipelines.
  • Expertise in Infrastructure as Code (IaC), specifically Terraform, for provisioning and managing GCP resources.
  • Experience with advanced analytics tools like Vertex AI
  • Strong experience with CI/CD practices and tools (e.g., GitLab, Jenkins, Cloud Build).
  • Knowledge of streaming technologies like Kafka
  • Proven ability to design and implement various data architectures (e.g., Data Lake, Data Mesh, Data Warehouse) on GCP.
Qualification wording
2 to 3 years of experience in Data Engineering with a focus on building and maintaining large-scale, production-grade data pipelines.
Expertise in Infrastructure as Code (IaC), specifically Terraform, for provisioning and managing GCP resources.
Experience with advanced analytics tools like Vertex AI
Strong experience with CI/CD practices and tools (e.g., GitLab, Jenkins, Cloud Build).
Knowledge of streaming technologies like Kafka
Proven ability to design and implement various data architectures (e.g., Data Lake, Data Mesh, Data Warehouse) on GCP.

Benefits in the posting

Full benefits wording
  • 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, …
  • Company Description

From the employer’s posting.

About Devoteam

We help our clients leverage technology to achieve their business goals.

In the employer’s words · Read in context

Apply at Devoteam

Posting record

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Open 6 monthsWe first saw this posting 184 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
May 13, 2026184 days ago
Recorded sightings
638
Last seen by us
Nov 13, 2026
Employer says posted
Jan 8, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 184

Up longer than most. Similar jobs usually come down between day 6 and day 56.

Well past Devoteam’s usual: its jobs come down by about day 22.

From 13,630 similar postings that came down, and 152 of Devoteam’s. Coming down is not always a hire.

Devoteam is hiring

44 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down at a usual pace
  • 7% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Go
  • Java
  • Python
  • SQL
  • AWS
  • Azure
  • BigQuery
  • GCP
  • Kafka
  • Looker
  • Terraform
  • Airflow
Where the posting names them
- 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.
- Deep, hands-on expertise with Google Cloud Platform (GCP) data services, including: - - BigQuery (advanced SQL, optimization, and administration) - Cloud Composer/Airflow for workflow orchestration
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
Devoteam is a leading consulting firm focused on digital transformation. We help our clients leverage technology to achieve their business goals. Our longstanding partnerships with leaders like AWS, Google Cloud, Microsoft, and ServiceNow amplify our capabilities, allowing us to deliver top-tier expertise and award-winning services. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. For 30 years, we have always been guiding our customers on the next tech wave. Devoteam has guided organizations through the Internet and cloud. The next revolution? AI.
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 !!!
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.
- 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)
- 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).
Nice to have - Relevant Google Cloud Professional Certification (e.g., Professional Data Engineer, Cloud Architect). - Experience with advanced analytics tools like Vertex AI
- Experience with advanced analytics tools like Vertex AI - Knowledge of streaming technologies like Kafka - Looker
- Knowledge of streaming technologies like Kafka - Looker Additional Information
- - BigQuery (advanced SQL, optimization, and administration) - Cloud Composer/Airflow for workflow orchestration - Pub/Sub for real-time data ingestion

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Description

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.

Ready to Shape the Future of Business? Apply Now and Join Devoteam ! 

Company Description

About Devoteam:

Devoteam is a leading consulting firm focused on digital transformation. We help our clients leverage technology to achieve their business goals.

Our longstanding partnerships with leaders like AWS, Google Cloud, Microsoft, and ServiceNow amplify our capabilities, allowing us to deliver top-tier expertise and award-winning services. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. 

For 30 years, we have always been guiding our customers on the next tech wave. Devoteam has guided organizations through the Internet and cloud. The next revolution? AI.

With 11,000 tech natives working in 25+ countries, we bring you highly skilled IT experts across Europe

At Devoteam, tech is in our DNA, and it’s the people we empower with tech. Now, with responsible AI, we’re ready to unlock a future where technology drives positive change.

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Machelen, Vlaanderen, Belgium

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