Data Engineer, Scandit

Salary not provided

SQL

GCP

Python

Tableau

Kafka

BigQuery

Senior level

Remote from Germany, Spain, UK

Smart data capture for the modern enterprise

Job no longer available

Smart data capture for the modern enterprise

201-500 employees

B2BArtificial IntelligenceEnterpriseDeep TechAugmented RealitySaaSAutomation

Job no longer available

Salary not provided

SQL

GCP

Python

Tableau

Kafka

BigQuery

Senior level

Remote from Germany, Spain, UK

201-500 employees

B2BArtificial IntelligenceEnterpriseDeep TechAugmented RealitySaaSAutomation

Company mission

To give superpowers to workers, customers, and businesses by providing actionable insights and automating end-to-end processes.

Job

Company

Role

Who you are

You are an experienced engineer who is passionate about building pragmatic solutions that will empower the users from multiple organisations to make data-driven decisions
You excel in building and maintaining data infrastructure and have a good overview of existing technologies and best practices
You work effectively in the team setting and take pride in educating and mentoring others
As a data platform engineer you are committed to maximising the value of the data to drive innovation and efficiency within the organisation
5+ years of professional experience as a Data Engineer, Software Engineer or similar role, with a strong background in data processing (Data Warehouse, Data Lake or Lakehouse)
Experience with GCP (BigQuery, Dataform) is essential
Are fluent in Python and SQL for data manipulation and querying of data
Have knowledge on state of the art technologies to analyse and visualise large amounts of data
Have profound understanding of data privacy and security best practices
Have good communication skills and a structured approach to work

What the job involves

As a Data Engineer, you will help develop and maintain our data platform
This includes evaluating and deploying various data technologies and working directly with the stakeholders on specific data use cases
You will be responsible for our company data at every stage from ingestion to dashboards and reporting
Design, develop, optimise and maintain data pipelines for the extraction, transformation, and loading (ETL) of data from various internal sources into our data infrastructure.
Implement data quality checks and validation processes to guarantee the accuracy and consistency of data
Maintain clear and up-to-date documentation of data processes, pipelines and transformations
Share your knowledge with other engineers in the team
Educate data stakeholders on how they can derive value from the available data
Proactively drive initiatives and projects, prioritising tasks and resources as necessary

Our take

Scandit leverages the cameras found in smartphones, tablets, wearables, and other devices, such as drones, to enable direct interaction with products. Scandit technology enables the cameras on these devices to scan barcodes and other product data.

Supported by a successful $150 million raise in 2022, the company has continued to innovate in the area with its focus on the Microsoft HoloLens and other wearable displays as ways to help streamline warehouses.

Augmented reality is forecast to become a huge industry in itself, and as one of the early movers in the space, Scandit is well placed to further capitalise on the trend.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

37% female employees

-8% employee growth in 12 months

Glassdoor (4)

Company

Funding (last 2 of 8 rounds)

Feb 2022

$150m

SERIES D

May 2020

$80m

SERIES C

Total funding: $275.4m

Company benefits

Additional day off on your birthday
Hybrid working
Health insurance & pension
Equity plan

Company HQ

Escher Wyss, Zürich, ZH

Leadership

Samuel Mueller

(Co-Founder & CEO)

Started his career as a researcher for IBM's research lab. Has a PhD in Computer Science from ETH Zurich.

Christian Floerkemeier

(Co-Founder, CTO & VP of Product)

Previously Associate Director of MIT's Auto-ID lab. Has a PhD in Computer Science from ETH Zurich.

Christof Roduner

(Co-Founder, CIO & VP of Product)

Senior research scientist at ETH Zurich, after completing a PhD in Computer Science.

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