Senior Data Engineer

Akeneo is the Product Experience (PX) company and global leader in Product Information Management (PIM), creating a world where every product interaction is an experience that guides consumers and professionals to the best purchase, anytime, anywhere.

We're all about experience - from the best-in-class product we build to the inspiring environment we create for our employees. You'll grow in a dynamic environment where your ideas and expertise will make an impact from day one. Our flexible work model empowers you to thrive, balancing professional success with personal fulfillment. At Akeneo, you’ll be part of a supportive and collaborative team that values open communication, shared successes, and meaningful relationships.

Learn more about our culture and values via our Career page.

***Job description***:
If you are an experienced Data Contributor and have been sailing in Data Tooling, Data Collection, and Cloud Infrastructure for the past 8+ years, we’ve got the right job for you Join us as a Senior Data Engineer at Akeneo and continue overcoming new data and software challenges.

In this role, you will be leading our Data Engineering/Data Ops topics and work closely with the Data Team as well as Engineering Leaders. The Data Team is currently composed of five Analytics Engineers and one Data Engineer. At Akeneo, Data Engineers look after our Data Platform, allowing Analytics Engineers to collect, transform, expose, and leverage our data.

Today our data stack is composed of Google Cloud Platform (GCP), dbt, Airbyte, Dagster, Metabase, Amplitude, and Segment. Additionally, company-wide tools include CircleCI, Terraform, and Datadog.

**Responsibilities**:

- **Collaborative Impact**: Collaborate with Data Team members and Engineering Leaders to evangelize Data Engineering and Data Ops best practices, building a data culture based on the highest quality and reliability standards. Ex: After identifying frequent data quality issues with a source provider, set up an interface contract with them allowing them to be alerted if the data provided is not respecting our data quality standards.
- **Mentorship**: Mentor other Data Team members, and drive data and software craftsmanship within the team and across the organization. Participate in code reviews and provide constructive feedback to other Data Team members. _Ex: Pair with Analytics Engineer on complex data collection tasks. Ex: Organise knowledge-sharing sessions on development best practices. Ex: Explain data engineering and/or software development concepts pedagogically to other Data Team members._
- **Visionary**:Build the Data Engineering and Data Ops vision, adapting our stack to anticipate users’ needs and avoid pitfalls. Stay up-to-date with emerging trends and technologies in data and software development. Ex: Build the Data Engineering and Data Ops roadmap, articulating rationale for each priority and identifying opportunities based on new feature releases of available technologies.

**Qualifications**:

- **Experience**: You have a strong track record in designing and building end-to-end data platforms—from Data Ingestion to Data Visualization. You have been using data and software development tools/languages extensively such as Airbyte, DataStream, Debezium, Google Cloud Workflows, Terraform, CloudFormation, BigQuery, Snowflake, Redshift, GCP, AWS, Airflow, Dagster, Google Analytics, Postgres, dbt, or Dataform.
- **Communication Skills**: You can effectively communicate complex technical concepts to stakeholders not familiar with your expertise and work very well within a diverse team.
- **Adaptability**: You thrive in a fast-paced, impact-focused environment and can handle uncertainties and changing requirements.
- **Mentoring Skills**: You have demonstrated that you can mentor and grow others in previous roles, guiding less experienced colleagues through challenges so they can deliver impact.

**Life at Akeneo**:
**Culture**

Diverse, cross-cultural team.

Office parties, team offsites.

Top-notch 8-week onboarding programme for new teammates, including live presentations, online courses you can take at your own pace, and an exhaustive checklist with all the resources, calls-to-action and support contacts for a smooth integration into the company.

**General**

Competitive package and complementary health insurance.

**Time off**

Flexible working hours and hybrid setup (up to 3-4 days per week working from home).

16 weeks paid maternity leave (33 days paid leave if you are the second parent).

Gradual Return to Work program after maternity or adoption leave.

️ Work from Anywhere Scheme - Explore the possibility of working from anywhere in the world for up to 30 days per year.

**Health & Wellness**

Individual and confidential coaching sessions with a mental health practitioner of your choice.

Massage sessions offered regularly and at a reduced price.

**Equipment**

Best-in-class communication and collaboration tools: Slack, Notion, Goo