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Data Engineer-Engineering Tools

Rocket Lab

Torino

In loco

EUR 40.000 - 65.000

Tempo pieno

22 giorni fa

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Descrizione del lavoro

Join Rocket Lab as a Data Engineer and contribute to the development of innovative telemetry systems for space exploration. This role involves building SDKs and data pipelines, requiring strong Python skills and a collaborative mindset. We value an agile approach and the ability to thrive in a fast-paced environment, as we work towards democratizing space access.

Servizi

Relocation assistance including visa sponsorship
Collaborative and open work environment
Agile decision-making processes

Competenze

  • Very good Python knowledge, including modules and packages.
  • Good understanding of software engineering patterns, especially for SDK development.
  • Experience with agile software development philosophy.

Mansioni

  • Develop an SDK for data ingestion and pre-processing.
  • Aid teams in integrating the SDK into their data pipelines.
  • Documentation, support, and user training.

Conoscenze

Python
Database knowledge
Agile methodologies
SDK development patterns
Workflow scheduling tools

Descrizione del lavoro

Here at The Exploration Company, we are developing, producing, and operating Nyx, a modular and reusable space orbital vehicle that can eventually be refuelled in orbit and that can carry cargo - and potentially humans in the longer run.

We want you as a talented Software or Data Engineer to help us in our mission by aiding in the development of our in-house internal telemetry and data ingestion frameworks and pipelines.

Key Responsibilities

In your capacity as a Data Engineer, your role will be continuously evolving, but day to day your duties will include:

  • Basic understanding of time-series data

  • Develop an SDK to massage, annotate, and pre-process data into a format suitable for ingestion

  • Aid engineering teams to integrate the SDK into their data pipelines

  • Develop data ingestion and pre-processing pipelines

  • Extend the SDK to support common telemetry formats

  • Implementation of command line tools and backend services

  • Use of best practices around testing, integration, and release management

  • Documentation, support, and user training

  • Schedule and backlog management

What we would love to see from you

In the role of Data Ingestion Engineer ideally, you will have the following:

  • Very good Python knowledge, including modules and packages

  • Good understanding of patterns in software engineering, specially around SDK development

  • A working knowledge of databases

  • Experience with agile software development philosophy

  • Experience with backlog management

  • Experience with a workflow scheduler, such as Argo, Dagster, Prefect, Airflow...

  • Readiness to work in a fast-paced environment with strict deadlines

  • These are optional, but we value experience in:

    • C++ and/or LabView

    • Software/SDK packaging and distribution

    • Engineering and data analysis experience

    • Infrastructure as code tools, such as Terraform

    • Public cloud providers such as AWS, Google Cloud, or Azure

    • Data modelling, management and governance

    • API design

    • Other programming languages

    • Working in engineering-heavy industries, such as aerospace, automotive...

Why you should join us!

What makes us special here at The Exploration Company and why we think you will enjoy working here is:

  • We’re Agile - we make decisions fast whilst keeping our goals and systems in mind

  • We’re Open and Collaborative - we are transparent about risks and obstacles, so that we can cooperate to overcome them

  • We have a lot of Fun - we refuel our energy knowing we are democratising space. It’s a wonderful and rare opportunity, are YOU up for the challenge?

We'd love to hear from you if you wish to be a part of our journey. Please submit your CV now for immediate consideration and we will be in touch shortly.

The Exploration Company is an equal opportunity employer and values diversity. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Relocation assistance is provided for those willing to relocate including visa sponsorship where applicable.

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