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.

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:

• Technical Excellence: Design and implement end-to-end scalable solutions for Data Processing and Cloud Infrastructure, applying best-in-class development practices while managing costs and complexity. Write clean, maintainable, and efficient code. Troubleshoot, debug, and optimize our data platform performance.
• 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.
• 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.
• 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.

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.
• Technical Expertise: You possess in-depth knowledge of data best practices as well as software development principles. You are fluent in scripting languages such as Python or Shell. You can write advanced SQL queries with your eyes closed. You know Linux environments and have already containerized and orchestrated applications with Docker and Kubernetes.
• 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

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, Google Suite, Jira, GitHub...

A €500 personal hybrid working allowance to maximize your home office environment.

Professional Development

Participation in in-house events welcoming external guests (ie. Meetups) or industry events.

A €1,000 learning budget per employee per year.

Perks & Discounts

Get your Swile lunch card funded at 50% by the company.

Receive a 50% discount on the transportation pass of your choice.

Comité Social et Economique: advantages and deductions on cultural activities, entertainment etc.

Take advantage of our company crèche whether you need a nursery spot (subject to availability), emergency childcare, or care for Wednesdays and school vacations.

A €45/month Sustainable Transportation Allowance to support eco-friendly commuting options such as public transportation, biking, or carpooling if eligible.

Corporate Responsibility

Employee Volunteering program: give back to the community with two days per year dedicated to supporting the charities of your choice.

Join one or several of our Employee Resource Groups and take an active part in promoting diversity and inclusion within our company.

Interview process

All interviews will be conducted remotely and ideally within two weeks, depending on your availability. We are asking for a total of around six hours of your time. There are no take-home exercises, coding tests, or surprises. We will not continue the process if you do not pass a step, to save you time and effort. If we decide not to move forward, we will provide you with feedback.

• Phone Screen: If your application has caught our attention, you will receive an invitation to a short conversation with one of our Talent Acquisition Specialists, where you'll learn more about the role and about Akeneo. You will be asked to send a one-pager on an “Impact You Are Proud Of.”