Lead Data Engineer
Lead Data Engineer
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Job Description
Managing your social networks has never been so simple!
Who are we
French leader in social media management Agorapulse is deployed in 15 countries and supports 31000 users worldwide.
So what are we doing exactly We allow agencies companies and marketers to manage their social networks in one spot while proving real impact to their marketing efforts and bottom line. Programming your content editing statistical reports calculating the ROI of the social media strategy and interacting with the audience and the team from a single platform for all social networks: Facebook Twitter Instagram LinkedIn YouTube Google My Business TikTok Pinterest Threads and soon Bluesky.
Some numbers
We now have more than 155 enthusiastic employees across the globe with our headquarters in Paris. Our semiremote organization allows us to have employees all around the world.
What we can offer as Lead Data Engineer
Agorapulse is transitioning from a centralized to an embedded data team model to enhance the impact of data analysts by integrating them into specific teams. This pivotal role will report to the CTO serving as both a leader for the data chapter and a handson contributor.
The Lead Data Engineer is responsible for maintaining high standards of best practices across teams ensuring knowledge sharing and driving the adoption of cuttingedge solutions particularly around large language models (LLMs).
This role combines technical expertise leadership and strategic vision playing a vital part in advancing Agorapulses data capabilities and leveraging AI/ML innovations to improve internal processes and product features.
The Data organization :
Agorapulses data team is transitioning to an embedded model:
- Data Analysts:
- Alberto: Embedded with Marketing Sales and RevOps.
- Arnaud: Embedded with Product Customer Care and Finance.
- Data Engineer (Eric): Responsible for data ingestion (Segment Fivetran Airbyte) observability (Airflow) and alerting.
Your responsibilities :
Data Engineering 40
- Design the vision and execute the technical processes for integrating data from companies that we will acquire. This encompasses data ingestion data transformation data analysis and data activation.
- Maintain the existing modern data stack keep it up to date. Monitor and optimize the data stack for cost and efficiency. Change what you believe will make it better. Ensure proper tool usage and improve processes to streamline operations.
- Contribute to our dbt pipeline to make sure that the business has data they need and ensure that you know the data that teams are using.
- Participate to data engineering delivery on a daily basis.
- check alerts and fix them
LLM Innovation 30
- Lead the discovery testing and implementation of LLMs for both internal operations and product features.
- Support product and development teams in leveraging LLMs effectively and efficiently.
Management / Leadership 30
- Lead the data chapter 4 people) by organizing weekly meetings to share news insights and best practices.
- Foster collaboration and alignment across data analysts and engineers while maintaining team cohesion.
- Manage the Data Engineer: hold weekly 1:1 meetings provide guidance and offer technical mentorship.
Key Outcomes
- Drive cohesive collaboration within the embedded data team.
- Provide mentorship and technical challenges to data chapter members.
- Promote the adoption of ML/LLM solutions for impactful operations and product innovation.
- Maintain alignment with the companys strategic data vision.
The data stack
- Ingestion: Segment Fivetran Airbyte.
- Data Warehouse: BigQuery.
- Transformations: dbt orchestrated with Airflow (Google Cloud Composer).
- BI: Metabase.
- ML: Langsmith platform with OpenAI Gemini and Bedrock models at scale.
About you
Must haves
- Experience: 6 years in data engineering
- Experience with LLMs (GenAI) in production is a plus
- Technical Skills: Proficiency in Python SQL and the modern data stack.
- Languages: Fluency in French and English.
Qualities We Value
- Problem Solver: Sees challenges as opportunities for improvement.
- Doer: Takes initiative and experiments with new ideas.
- Technician: Handson technical expertise in data and ML tools.
- Visionary: Clear understanding of ideal data flows and longterm strategy.
- Communicator: Shares vision and fosters enthusiasm within the team.
- Team Player: Invests in colleagues growth and contributes to a positive team environment.
- Proactive: Takes ownership to improve processes and outcomes.
- Efficient: Delivers quickly iterates based on feedback and values progress over perfection.
Why Join us
- Enjoy a scale up environment with a great worklife balance
- Evolve in a SaaS B2B Tech and international context
- An exceptional working atmosphere (you can look at our Glassdoor
- Collaborate with amazing colleagues and be part of an enthusiastic team
The next steps
The aim is to give you the opportunity to get to know the future key members of your team as well as possible. Between each stage you will always be accompanied by our Talent Acquisition team.
- Call with Capucine Talent Acquisition Specialist 30 min)
- Interview with Juliette hiring manager 40min)
- A case study with an onsite presentation 1h30
- A culture fit interview with our CEO 40min)
Employment Type
Full Time
