Xeneta

Real-time, crowdsourced freight rate data platform

Senior Data Engineer

Data EngineeringUpdated on Nov 13

Full-timeNo salary listed

About the Job

Requirements

At least 5 years of experience in a Data Engineer role, with a proven track record designing scalable and reliable data architecture.
Strong judgment about good user and developer experience in the role's area, and a desire to improve the tools used.
Experience using AI tools such as Claude Code as the default way to write, review, and maintain systems.
Expertise with data pipeline tools, cloud services, and the Snowflake ecosystem.
Proven expertise in modeling data using advanced SQL.
A bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.

Responsibilities

Own the pipelines that feed the Xeneta platform with data, and decide what gets rebuilt, evolved, or retired.
Redesign data models in Snowflake and dbt so a data scientist or engineer can go from an idea to a shipped model in hours without disrupting critical production data.
Make data usable by AI agents through clean semantics, documented lineage, and metadata that Claude Code and other AI tools can reliably read and act on.
Educate the technology and data teams, as well as the wider organisation, on using data with AI tools.
Set governance rules for how data is defined, owned, and accessed, and build them into the stack rather than only documenting them in policy.
Automate repetitive work, including access provisioning and approvals, onboarding data sources, adding data quality checks, and keeping documentation and lineage current.

Desired Qualifications

A team-oriented approach and enjoyment of helping the team and oneself learn and improve.
A strong analytical and problem-solving mindset, curiosity, and willingness to venture into unknown territory.
Strong communication skills, including keeping stakeholders informed, empathizing with user problems, rallying peers around a solution, and pushing for decisions when consensus is difficult.

Join us and rebuild our data stack for AI-first tech and data teams.

We are looking for a Senior Data Engineer who will redesign how data turns into intelligence at Xeneta. Our engineers, data scientists and analysts already build data products with tools like Claude Code, but the AI agents are only as good as the data they can reach. Our data stack (Snowflake, dbt, AWS, OpenMetadata) is already top-of-class and has been recognised by peers at conferences - your job is to take it to the next level.

You will cut the time it takes to build and ship a data model from days to hours. You will own our data architecture end to end: modelling, pipelines, governance and the stack underneath. You will decide what gets rebuilt, evolved, or retired. You will make data discoverable, trusted and usable by humans and agents alike.

Xeneta provides the data and intelligence that underpins ocean and air freight decisions for the largest buyers and sellers in the market. Your work is what makes that intelligence possible.

Location: Bucharest (RO), London (UK), Oslo (NO)

Own the pipelines that feed the Xeneta platform with data, and decide what gets rebuilt, evolved or retired.
Redesign our data models in Snowflake and dbt so a data scientist or engineer can go from an idea to shipped model in hours, not days - without messing up the critical data in production.
Make our data usable by AI agents: clean semantics, documented lineage, and metadata that Claude Code and other AI tools can read and act on reliably.
Educate the tech and data teams as well as the wider organisation on using data with AI tools.
Set the governance rules for how data is defined, owned and accessed, and build them into the stack instead of writing them into a policy.
Automate the repetitive work: access provisioning and approvals, onboarding new data sources, adding data quality checks, and keeping documentation and lineage current.

Among your skills and prior experience, you should have:

5+ years of experience in a Data Engineer role, with a proven track record in designing scalable and reliable data architecture.
Strong opinion on what good user- and developer experience looks like in your area, and a desire to constantly improve the tools that you use.
Experience using AI tools like Claude Code as the default way you write, review and maintain systems.
Expertise with data pipeline tools, cloud services, and Snowflake ecosystem.
Proven expertise in modeling data using advanced SQL.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.

Among your personal traits, the following would be helpful in the role:

You are a team player, and you enjoy learning and improving the team around you and yourself.
You have a strong analytical and problem-solving mindset, curiosity, and daring when venturing into unknown territory.
You have strong communication skills: you keep stakeholders up to date, you empathize with user problems, you can rally peers around a solution, and you are not afraid to push for a decision when consensus is hard to reach.

About the Company

Xeneta

Real-time, crowdsourced freight rate data platform

Xeneta provides a real-time, neutral data platform for ocean and air freight rates, crowdsourced from shippers and forwarders. It aggregates over 400 million rate entries to give clients a comprehensive view of the market. Buyers and sellers use the data and insights to monitor price trends, identify opportunities and risks, and inform budgeting, tendering, and routing decisions. The platform charges for access to its data and analytics, helping clients achieve cost savings and smarter supply-chain decisions—often with reported ROIs up to 10x within six months. Xeneta differentiates itself by offering up-to-date, crowdsourced market intelligence rather than static reports, enabling leaner, more agile procurement in a volatile freight market.

Company size: 201-500
Company stage: Late Stage VC
Total funding: $137.3M
Headquarters: Oslo, Norway
Founded: 2012

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