Data Engineer, Altana AI

Salary not provided
SQL
AWS
GCP
Python
Azure
Spark
Data Studio
Git
Mid and Senior level
London
New York

More information about location

Altana AI

Supply chain visibility platform

Open for applications

Altana AI

Supply chain visibility platform

101-200 employees

B2BArtificial IntelligenceEnterpriseLogisticsBig dataSupply ChainSaaS

Open for applications

Salary not provided
SQL
AWS
GCP
Python
Azure
Spark
Data Studio
Git
Mid and Senior level
London
New York

More information about location

101-200 employees

B2BArtificial IntelligenceEnterpriseLogisticsBig dataSupply ChainSaaS

Company mission

Altana AI's mission is to improve global commerce.

Role

Who you are

  • 3+ years of experience as a Sr Data Analyst, Data Engineer or a similar role, or education equivalent
  • Programming skills are required, preferably in Python
  • Experience with SQL and relational databases
  • Experience with data analysis, data warehousing, and knowledge of ETL pipelines
  • Excellent analytical skills, deadline-focused, detail-oriented, well organized, and self-motivated
  • Experience with code versioning tools (e.g. git)
  • Working knowledge of cloud services like AWS, Azure, or GCP
  • You are committed to collaboration, knowledge-sharing, and expanding your engineering and analytical skill set to fit the needs of the team
  • You have strong written and verbal communication skills

Desirable

  • Experience in a big data processing framework such as Spark
  • Experience with different data lake technologies (AWS Data Lake, Azure Data Studio,...)

What the job involves

  • The Implementation/Data Operations team is looking for talented Junior Data Engineers who are passionate about data and all things related to data products and visibility
  • We are searching for individuals who are excited to build scalable solutions for our ever growing data needs, and are motivated by delivering functional data products for our internal teams and end users
  • You’ll be a major contributor to data acquisition and ingest processes, including dataset evaluation, ETL pipelines, and continuous data quality improvements
  • Your work will enable teams across the company to utilize newly incoming data, while partnering with software engineering and machine learning teams to implement scalable processes and define handover points
  • Contribute to the development, deployment, and maintenance of pipelines to extract, transform and load incoming data from a variety of 3rd party sources
  • Analyze and evaluate new and existing data sources and provide recommendations regarding data quality and utility
  • Communicate with teams across the organization to ensure the success of data ingest deliverables, identify pain points, and envision improvements to existing processes
  • Collaborate with the overall engineering organization and contribute to the existing codebase
  • Help maintain ETL pipeline architecture and systems documentation
  • Follow engineering best practices

Our take

Altana AI’s platform provides a shared source of truth for the global supply chain. The idea is that this will help businesses and governing powers optimize global commerce which, over the past few years, has shot up on the list of international priorities. With three quarters of businesses reporting recent supply chain disruptions, and governments increasingly concerned with mitigating security threats, data-driven visibility is more sought after than ever before.

Crucially, the platform doesn’t require data sharing to create global intelligence, instead using a federated machine learning approach. This is a nut many big-data companies have been trying to crack, and Altana AI’s success has attracted the company interest from top-tier investors like Google Ventures and Floating Point alongside contracts with the UK Department of Business & Trade. A number of other headline enterprises and government agencies are already on the company's customer roster.

With companies looking to recoup some of the $4 trillion reportedly lost in supply chain disruptions over recent years, and the push for global databases getting stronger, logistics startups are having a fruitful investment period. Altana is crafting a remarkable product at a highly marketable time, and with good uptake so far. Backed by substantial funding, Altana is set for a strong few years.

Steph headshot

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

26% employee growth in 12 months

Company

Funding (last 2 of 5 rounds)

Jul 2024

$200m

SERIES C

Oct 2022

$100m

SERIES B

Total funding: $323.5m

Company benefits

  • Comprehensive healthcare package
  • Paid parental leave of 3 months for the primary caregiver and 1 month for the secondary caregiver

Company values

  • We focus on value creation, not value capture
  • We amaze our clients
  • We foster diversity and embrace difference
  • We get things done
  • We embrace reality

Company HQ

Financial District, New York, NY

Leadership

Previously an analyst with J P Morgan, pivoting to engagement at Cleantech Group and then corporate tech strategy with Suncor Energy. After a spell as an investor at Fuller Smith, spent time with global supply chain analytics company Panjiva as a management advisor.

Peter Swartz

(Chief Science Officer)

An MIT grad in political science who went on to work as Head of Data Science at Panjiva.

A Yale economics graduate with experience in renewables at Imperium Renewables and Verno Systems, the latter of which they co-founded. Served as a partner at Fuller Smith, before moving on to work in a management advisor role at Panjiva.

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