Data Engineer Junior

il y a 1 mois

Paris, France Deepki Temps plein

Founded in 2014, Deepki supports real estate players in their transition to net zero and sustainability. To achieve this transition towards sustainability, Deepki helps realign stakeholders’ interests to build efficient strategies and transform real estate into a positive force for the planet.

Deepki is the only company offering a fully populated ESG data intelligence platform combined with expert advisory services. The company’s end-to-end solutions leverage data to improve ESG performance and enhance the value of real estate assets.

Key figures:

  • 400M+ of sqm monitored
  • 38+ countries where we operate
  • 180k+ teqCO₂ savings detected
  • 250+ references across the world

Deepki’s moto: “We say what we do & we do what we say”

What we’re looking for :

We are looking to grow our teams with talents that share our energy and motivation to accelerate the environmental transition at an international scale

Our profiles are a mix of different backgrounds and experiences, all of whom work together in order to ensure the best possible user experience. To match Deepki’s mindset, it is important to be open and curious, with good listening skills. Joining Deepki means becoming a team player, and giving a purpose to your work by trying to save the world every day ;)

Deepki: #ImpactForward

In a context of strong growth, we are looking for a "Junior Data Engineer" to join our R&D team. 


MISSIONS : 

Under the supervision of a Senior Data Engineer, the objective of the position will be to :

  • Set up robust data flows to feed R&D projects

  • Supervise the production launch of projects ranging from climate risk analysis, energy consumption data estimates, large-scale building geometry data collection, to LLM deployment in various use cases

  • Support the scaling-up of data science projects

  • Participate in the transmission of knowledge and best practices around data within the company

  • Participate in technical monitoring of emerging technologies.

ESSENTIAL SKILLS AND COMPETENCES :

  • Master's degree in computer science or computer engineering with data component

  • Team spirit and good communication skills

  • Python / SQL programming

  • Experience in building data pipelines

  • Experience in database management

  • Familiarity with DevOps and DataOps culture

  • Thinking outside the box

  • Autonomy and rigorous

 

NICE TO HAVE SKILLS :

  • Interest in ESG, energy transition and decarbonization

  • Familiarity with geometric and meteorological data

  • Knowledge of the AWS data stack (S3, Athena, Redshift)

  • Knowledge of orchestration tools (Airflow, Prefect, Dagster)

WHY JOIN DEEPKI?

Deepki’s teams are dedicated to making an impact by harnessing data to transform the world’s most carbon-intensive industry into a force for good for the planet, and creating virtuous real estate. They embody our four core values: drive, commitment, righteousness and goodwill, which represent a fundamental element of life at Deepki.

Our employees are at the heart of everything we do, and we strive to provide a comfortable environment where they can flourish.

- Regular social events (2-day Onboarding with all Deepkies France and International, celebrations, seminars)

- In-house training

- Allianz health insurance

- 10€ luncheon voucher card per day worked (55% paid by the employer)

- Gymlib

- International environment

- Dynamic and passionate ecosystem where everyone's initiatives have their place

- Large office with terrace in the heart of Paris (75011)

Do you feel like you meet most requirements, but not all of them? We want to hear from you
Deepki is an Equal Opportunity Employer. We do not discriminate on the basis of ethnicity, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, sexual orientation, age, national origin, non-disqualifying physical or mental disability, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, passion, merit, and business need.

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