Data Engineer H/F - Singulier

Fondé en 2017, Singulier est un cabinet de conseil en stratégie digitale. Partenaire des fonds d'investissements et des dirigeants d'entreprises, Singulier monte des task-forces de consultants et d'experts qui, en mode « entrepreneur », mènent des opérations digitales stratégiques à impact rapide et pérenne. Combinant ainsi vision stratégique, innovation de rupture et pragmatisme opérationnel, nous intervenons sur des missions transverses de transformation digitale, et sur des missions de due diligence avec nos communautés d'experts (Media, UX, CRM, IT etc.).

En quelques chiffres, Singulier c'est :

- 120 task-forces montées depuis sa création en novembre 2017
- 75 partenaires et clients
- Une équipe d'environ 30 consultants et experts les plus pointus dans leur domaine de compétences : Investissement, Stratégie, Innovation, Marketing & Média, Expérience Client, Expérience Utilisateur, Data, Technologie ou automatisation de processus
- Une ambition internationale : après l'ouverture du bureau de Paris en 2017 et de Londres en 2018, Singulier s'implique auprès des équipes de son partenaire stratégique Ekimetrics à New-York et Hong-Kong.

Nos valeurs : Esprit entrepreneurial Bienveillance Partage Complémentarité
Notre personnalité : Confiance Humilité Audace OptimismeWho we are ?

Our history Graphite is a venture of Singulier.

With 60 people based in Paris and London, is a strategy consulting firms helping investment funds and their portfolio companies in their digital transformation. They combine value creation advisory and leading digital expertise to transform and grow digital businesses. Singulier also created another venture, , a leading data analytics platform for private equity firms. Singulier provides us operational support (Finance, HR, Sales), funding. Many of our clients are also Singulier clients.

We are looking for a Data Engineer to design and deliver the data stacks powering scalable data intensive applications. You'll be part of a cross-functional agile team responsible for the full software development life cycle, from design to deployment. As a Data Engineer, you will work to deliver good quality data backends, from data modelling to infrastructure and security. Your mission is to make data accessible.

Missions
- Evaluate business needs and objectives to find suitable data architectures.
- Design process for growth and extensibility. Ensure enabling technologies are priced affordably to scale with that enterprise data growth.
- Build stable data systems and robust pipelines, include continuous-improvement oriented feedback loops. Consumers must be able to trust the data.
- Automate as many stages of the data flow as possible including BI, data science, and analytics.
- Monitor and interpret logs, using benchmarked performance information, identify bottlenecks and then optimise for them.
- Explore ways to enhance data quality and reliability
- Working with data team to identify opportunities for task automation and helpful tools.

Why joining us ?

Taking part in an entrepreneurial adventure in an early-stage venture

We are not a traditional tech services company. We have a start-up and entrepreneurial mindset, with many things to structure and develop and plenty of opportunities to take part of it.

Having a meaningful impact

We work with our clients on their top business priorities. You will deliver data project with huge impact, that are detrimental to our client's success.

Learning and growing

You will work on a huge variety of projects and technologies and you will get dedicated learning and development time, access to top-notch learning portals and use coaching opportunities.

Building top-level expertise

You'll use cutting-edge tech and be on the front seat of the rapid evolution of cloud and data.

Contributing to open-source projects

You will be mentored by experienced colleagues that can guide you on a journey to contribute to meaningful open-source projects

- A Master's Degree in Computer Science or relevant field
- Previous experience as a data engineer or in a similar role, 0-2 years' experience
- Technical expertise with data models, data mining, and segmentation techniques
- Knowledge of programming languages
- mastering Python, SQL and JavaScript/typescript is a minimum,
- familiar with other Object-Oriented Languages is a plus: C#, Go
- Great analytical skills