The team and its organization
Skillup’s Data team is part of the twenty-strong Tech and Product department and currently comprises 4 people (3 data engineers and 1 ML Engineer).

It is responsible for:
- the design and development of customer data pipelines
- data scrapping for the training catalog
- project optimization and performance, as well as the development of new use cases to enhance the value of available data
- integration with other tools (SaaS, partner tools, etc.)
- maintenance and continuous improvement of data infrastructure

The role
As a Data Tech Lead, you will report directly to Jérémie, our CTO, and help define and implement a global data vision and strategy in line with Skillup’s objectives. You will supervise and manage a team of 4 people.

As Team Lead, you will be responsible for driving and maintaining team momentum, leading them towards constantly evolving technical and product expertise, in line with the roadmap.

Nice to know: what is a lead developer at Skillup?

• A technical leader who is responsible for the team’s design and development issues

• A technical guarantor who ensures the quality and smooth running of what is produced by the rest of the team, with a view to long-term development and scalability

• A mentor who helps his or her team to develop skills in both technical and functional areas, as well as in processes

• An individual contributor who participates in the development of new data models

• An excellent communicator able to work closely with different teams

Missions
- Manage a data team of 4 people, supporting them on a daily basis in their development projects and ensuring their skills are upgraded
- Supervise the design, development and optimization of data pipelines
- Ensure data integrity, quality and security throughout projects
- Define data engineering best practices and implement them within the team
- Work closely with tech, product and business teams to understand their data needs, develop new use cases and deliver appropriate solutions.
- Ensure technical documentation, best practices and development standards within the team
- Collaborate with product teams to provide input, challenge and help establish a suitable roadmap.
- Contribute to improving team processes, culture and performance
- Help the team grow and participate in interviews during the recruitment process

Stack 
Data engineering: Python, Scrapy, Pandas, Postgresql, MongoDB, Neo4j, Zyte, Airflow, Dash/ Plotly, S3

NLP/Machine Learning: scikit-learn, spaCy, pyTorch, fastText, XGBoost, transformers/BERT, GRU

Background and experiences:

• You have at least 7 years’ experience in data engineering.

• You are familiar with data architecture, data warehousing and data pipelines

• You are an expert in common programming languages such as Python, Java, Scala, and tools associated with data engineering.

• You have a real appetite for data and a broad vision of data architectures.

• You already have initial experience in team management and technical leadership.

What we like about you::

• Your “problem solver” side: you’re able to quickly implement solutions to your team’s problems

• Your curiosity and initiative: you’re keen to share new methodologies and technical advances in your field with those around you, and to make suggestions for improving processes

• Your kindness, empathy and ability to communicate well: you enjoy working and succeeding as part of a team.

• Your feedback culture: you know how to give and receive feedback

Skillup is for you if:

• You want to work with teams for whom code quality is very important (TDD, CI/CD…)

• You’re looking for a pleasant working environment with teams that listen and care

You have the right spirit to work in a fast-growing startup. You’re open-minded and motivated by change, you like being a driving force, collaborating with different teams, having a vision focused on the user and his satisfaction, contributing to the evolution of the structure and work methodologies.

We offer:

• The opportunity to be a key member of a fast-growing start-up with high stakes for the coming years.

• A pleasant working environment, with quality management that listens, is available and caring, and knows how to recognize and reward investment.

• Opportunities for internal career development

• 3 hours a week dedicated to personal training, via the O’Reilly training platform

• Several days (1 to 3) of remote per week, from Paris (or not)

• Offices conveniently located in Paris (10th arrondissement, lively district, close to transport links and numerous restaurants)

• Company and team life (if you’re looking for partners to motivate you to go to the gym, we’ve got a shower in the office for your convenience, for lunch or for a game of Mario Bros or other games on the switch in our gaming room - you’ll always find someone!)

1️⃣ HR interview with Audrey, Talent Acquisition Manager: to get to know each other and give you an idea of Skillup
2️⃣ Visio interview with Jérémie, Skillup’s CTO & co-founder: You’ll introduce yourself, your skills and your expectations. In turn, Jérémie or Hector will introduce you to Skillup and its tech challenges, so as to validate the mutual match!
3️⃣ Visio interview with Flavien, Senior data engineer: to challenge and understand technical issues
4️⃣ Visit the offices: you’ll meet your future colleagues and validate the culture fit!
And if everything goes well on both sides … we’ll be delighted to have you join our teams 🚀