Data Engineer

Einride AB; Town of Sweden (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Einride AB is seeking a Data Engineer to join their Analytics Platform team in New York. The role involves building and maintaining data pipelines for the Saga transport planning software and ensuring data accuracy for business needs. The ideal candidate has hands-on experience with datasets and modern cloud-native tools such as SQL, BigQuery, and programming skills in Python, Java, or Go. This full-time position is hybrid, valuing in-person collaboration in the office several days a week.

Qualifications

• Experience working hands-on with real-world datasets.
• Familiarity with cloud-native data engineering tools.
• Experience with programming languages like Python, Java, or Go.

Responsibilities

• Understand and predict data needs for internal and external users.
• Build and orchestrate high-quality data pipelines for software and reports.

Skills

SQL

BigQuery

Data pipeline orchestration

Cloud-native tools

Python

Tools

dbt

Dagster

Google Pub/Sub

Job description

Want to be part of transforming road freight – for good? Einride is showing the world a new way to move, based on the latest digital, electric and autonomous technologies. Through freight capacity as a service, we enable businesses around the world to accelerate towards their sustainability goals.

Founded in 2016, Einride became the first company in the world to deploy a cab-less autonomous electric vehicle on a public road (Sweden, 2019). In 2022, we were the first to successfully operate such a vehicle on a US public road. Today our award‑winning technology has been launched across 8 countries (and counting). Our clients are some of the world’s biggest shippers, including Fortune 500 companies. We are also operating Sweden’s largest truck dedicated public charging network and counting.

We are accelerating the electrification of the heavy‑duty transportation industry by building the electric freight planning platform Saga. This platform includes systems for communicating with external assets (like vehicles and chargers), optimization engines, interfaces for transport planning, and machine learning models for predicting energy consumption. Now we are looking for an enthusiastic, humble, and creative Data Engineer to join us on this ambitious journey to electrify the transportation industry.

As a Data Engineer

You will be joining the Analytics Platform team, which is responsible for building and maintaining our core data platform. We deliver key data‑products that power our transport planning software and drive internal business improvements. We build and safeguard the connection between our business objectives, the operational data model, and the analytical data model, ensuring data accuracy and accessibility.

The team works end to end across the data stack, and you will be in close contact with a wide range of technical and non‑technical colleagues. To make an impact in such a dynamic environment, we believe that you enjoy the versatility of jumping from the nitty‑gritty details of terraforming the infrastructure for our orchestration platform in GCP, to engaging with business users translating their daily workflows into analytical data models that will simplify their lives.

You will

• Work with external and internal data consumers to understand and predict their needs in terms of datasets and data access
• Build and orchestrate high quality data pipelines to power the our Saga transport planning software, business reports and machine learning models

We expect you to

• Have experience in working hands‑on with real‑world datasets
• Have working experience using some modern, cloud‑native data engineering tools. We use SQL, BigQuery, dbt, Dagster and Google Pub/Sub among others.
• Have experience with some general‑purpose programming language such as Python, Java or Go
• Champion data engineering best practices and guide colleagues in their adoption
• Be service minded and comfortable having conversations with business users

This is a full‑time, hybrid position based in either Stockholm or Gothenburg. We highly value in‑person collaboration, so we are looking for candidates who are happy to join us in the office a couple of days each week.