Senior Data Engineer, Akeneo
Salary not provided
SQL
AWS
Docker
Kubernetes
GCP
Python
Linux
Google Analytics
Postgres
Airflow
Terraform
Redshift
Metabase
Amplitude
Segment
Snowflake
BigQuery
dbt
Datadog
Senior and Expert level
Paris
Product Experience Management solutions
Be an early applicant
Product Experience Management solutions
201-500 employees
B2BMarketingSaaSSales
Be an early applicant
Salary not provided
SQL
AWS
Docker
Kubernetes
GCP
Python
Linux
Google Analytics
Postgres
Airflow
Terraform
Redshift
Metabase
Amplitude
Segment
Snowflake
BigQuery
dbt
Datadog
Senior and Expert level
Paris
201-500 employees
B2BMarketingSaaSSales
Company mission
To fundamentally disrupt the product information category and better serve the rapidly growing needs of modern omnichannel brands and retailers.
Role
Who you are
- 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!
- 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
What the job involves
- 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
- 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. Ex: Design and implement an orchestrator to automate data pipelines. Ex:Terraform our GCP project and build a robust framework to manage data access efficiently and thus secure our sensitive data. Ex: Identify and resolve bottlenecks in one of the Data Collection homemade components
- 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
- All interviews will be conducted remotely and ideally within two weeks, depending on your availability
Application 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," which will be used to validate that you are able to start the interview loop and during the technical interview to aid discussion and deep dive into decision making
- The “Impact You Are Proud Of" one-pager should be short and clear, articulate the problems and the solutions, and if possible, include code you produced in that context
- Hiring Manager Chat: This short interview will allow you to go in more depth into what the role entails and discuss your experience and skills
- General Interview Loop: These interviews ensure you are qualified to join Akeneo and that you are a right fit for the Data Team at this point in time
- Efore each interview you will receive an email detailing the types of questions you will be asked and who your interviewers will be so you can research and prepare
- Technical Deep Dive: The two Technical Deep Dive interviews are looking to see how you think critically, expose gaps, navigate ambiguity, focus on impact and execute
- “Impact You Are Proud Of": You will be asked to bring the “Impact You Are Proud Of" one-pager to discuss and go deep in 60 minutes with a Staff Engineer and a Data Team member
- Akeneo specific problem: During this interview, you will discuss in 60 minutes how you would solve Akeneo-specific complex data problems related to either Cloud Infrastructure and/or Data Tooling and/or Data Collection
- Behavioural Deep Dive: You will spend 90 minutes with a cross-functional panel of peers
- They are looking to see what it's like to work with you and how you add to our values
- This interview relies heavily on examples from your past, so take some time to think back and write down some so you are best prepared
- We want to emphasise that the purpose of this interview is not to "test" you
- Instead, our goal is to create an environment and opportunities for you to express yourself fully, allowing us to understand your years of experience in a short timeframe
- We encourage you to think of the interviewers as collaborators, there to ensure you have every opportunity to shine
- We're genuinely interested in learning about your experiences, thought processes, and approaches to problem-solving
- Team Interview: The rest of the Data team will want to meet you at this point for an hour to see if you are someone that they would like to work with and learn from
- The team will be curious about you as a person and what you want for your next chapter
- At all stages of your recruitment process, our Talent Acquisition team is committed to giving you an update in a one-week time frame
Our take
Based in France and Boston, Akeneo is a provider of product experience management (PXM) and product information management (PIM) solutions. The platform enables businesses with products to create growth opportunities by delivering product experience.
The company is trusted by leading global brands, including PUMA, Canon USA and Giant Tiger. The appeal of Akeneo’s services is its enablement of retailers to activate product experiences across all communication channels, rather than having to manage catalogs using spreadsheets or an out-dated ERP.
In 2022, Akeneo raised further funding, which was invested in accelerating the product development roadmap and expanding its strategic partnerships. Continued investment and partnerships bring Akeneo ever closer to its goal of best serving the growing needs of modern omnichannel brands and retailers.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Top investors
Company
Funding (last 2 of 5 rounds)
Mar 2022
$135m
SERIES D
Sep 2019
$46m
SERIES C
Total funding: $195.9m
Company benefits
- 🌎 Diverse, cross-cultural team
- 🎉 Annual All Staff gathering week, office parties, team offsites
- 🧳 Once a year, travel to another office location for a period of 2 weeks
- 👋 Top-notch 8-week onboarding program 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
- ⏰ Flexible working hours, global home office policy
- 🧘 Individual and confidential coaching sessions with a mental health practitioner of your choice
- 🔊 Best-in-class communication and collaboration tools: Slack, Notion, Google Suite, Jira, GitHub..
- 💻 Choice of a Mac or a Windows laptop
- 💸 Personal remote allowance to maximize your home office environment
- 🎫 Participation in in-house events welcoming external guests (ie. Meetups) or industry events
- 🧑🏫 Group and individual training opportunities
- 👨💻 Attendance at the yearly business or tech conference of your choice
Company values
- Humility - We want to become better at what we do, and we acknowledge that we are not there yet
- Innovation - We take pride in developing an open-source solution. This makes our solution powerful, open to everyone, and we are very attentive to our code quality
- Benevolence - We believe everyone is doing their best, and we commit to helping each other in a friendly way, with an ‘open door’ policy
- Openness - We love hearing new ideas and opinions. We are always excited to welcome new employees with different backgrounds who can share their experiences and challenge our status quo
- Beer - We do serious business without taking ourselves too seriously. We love to get together and share fun moments at work
Company HQ
Dervallières-Zola, Nantes, France
Articles
Leadership
Benoit Jacquemont
(CTO & Co-Founder)Previously served as CTO for Smile Group.
Fred de Gombert
(President & Co-Founder)Previously founded and acted as CEO for Manalee. Served as Pre-sales Manager & eCommerce Director for Smile.
Yoav Kutner
(Advisor & Co-Founder)Recent co-founded and acts as CEO for both MageCore and Oro. Previously co-founded and acted as CTO for both Magento and Varien.
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