Senior Data Engineer
il y a 3 semaines
Akeneo is the product experience (PX) company and global leader in Product Information Management (PIM). We empower business leaders with software, education, and an engaged community focused on product experience management.
About the RoleWe are seeking an experienced Data contributor to lead our Data Engineering/Data Ops topics. As a Senior Data Engineer, you will be responsible for identifying, designing, and implementing solutions for Data Processing and Cloud Infrastructure while managing costs and complexity.
Key Responsibilities- Lead Data Engineering/Data Ops topics and mentor other Data Engineers
- Drive excellence and software craftsmanship within the team and across the organization
- Evangelize Data Engineering and Data Ops best practices in the Engineering team
- Build the technical Data Engineering and Data Ops vision
- Adapt our stack to anticipate data users' needs and avoid pitfalls
- 8+ years of experience in Data Tooling, Data modeling, and Cloud Data Infrastructure
- Fluency in scripting languages such as Python, shell, and advanced SQL queries
- Experience with Linux environments, software development best practices, and containerization/orchestration with Docker and Kubernetes
- Fluency in English, both spoken and written
- Competitive package and complementary health insurance
- Flexible working hours and hybrid setup (up to 3-4 days per week working from home)
- 33 days paid leave if you are the second parent (instead of 28 days)
- Massage sessions offered regularly and at a reduced price
- Choose between MacOS or Linux
- Personal remote allowance to maximize your home office environment
We are committed to giving you an update in a one-week time frame at all stages of your recruitment process. Meet some of our experts in three 60-minute technical interviews to discuss data tooling, data extraction, and cloud infrastructure.
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