# Senior Data Engineer (Stockholm)

[Xebiacee](https://gurify.com/jobs?q=Xebiacee) · Sweden · Posted yesterday

Senior

[Data](https://gurify.com/jobs/data)

[Apply on the original posting → (opens in a new tab)](https://job-boards.greenhouse.io/xebiacee/jobs/6151232004)

## Job description

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.

### You will be:

- developing and maintaining ingestion pipelines handling billions of events per day,

- designing, building and optimising complex ETL pipelines,

- developing the tools and frameworks that make up the data platform,

- supporting other teams working on and with the platform,

- working with Data Scientists to take ML models into production,

- contributing to the ML platform and to streaming solutions,

- setting good practice across software and data engineering,

- identify bottlenecks in the existing platform and improving them.

### Your profile:

- 5+ years of experience as a Data Engineer or in a comparable role,

- strong Spark, Scala and Python skills,

- hands-on experience with Google Cloud Platform,

- a track record of building complex ETL pipelines,

- experience working with large scale data sets,

- knowledge of Airflow or a comparable orchestration tool,

- experience with Git and CI/CD practices and tools, such as Jenkins,

- solid software engineering fundamentals,

- autonomy, ownership and clear communication in English,

- open to work on-site in Stockholm.

### Nice to have:

- experience with Kafka or other messaging systems,

- experience with streaming data and kubernetes,

- knowledge of BigQuery or Redshift

- previous work on an ML platform or a data platform.

### Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision

**Live in Xebiacee’s hiring system.** Read from the company's own applicant tracking system, not reposted from a job board — so it's a real, open requisition rather than an ad that outlived the role.

We remove it as soon as it disappears at source.

## More jobs like this

- XE [Senior Data Engineer](https://gurify.com/job/senior-data-engineer-at-xebiacee-4ca9f5f5e21c) Xebiacee · Sweden · 2 weeks ago
- XE [Mid/Senior Data Engineer (GCP)](https://gurify.com/job/mid-senior-data-engineer-gcp-at-xebiacee-bfb4c1abfec6) Xebiacee · Bulgaria; Poland; Romania · yesterday
- XE [Senior Data Engineer](https://gurify.com/job/senior-data-engineer-at-xebiacee-b882c2c837da) Xebiacee · Bulgaria; Czechia; Hungary; Moldavia; Romania; Slovakia · 6 days ago
- XE [Data Engineer with Airflow](https://gurify.com/job/data-engineer-with-airflow-at-xebiacee-d2b0f22814c5) Xebiacee · Bulgaria; Czechia; Hungary; Moldavia; Poland; Romania · 2 weeks ago
- XE [Senior Data Engineer](https://gurify.com/job/senior-data-engineer-at-xebiacee-a160d9bbe4d2) Xebiacee · Bulgaria; Poland; Romania · 2 weeks ago
- XE [Senior Data Architect / Data Engineer](https://gurify.com/job/senior-data-architect-data-engineer-at-xebiacee-bd11fe950a22) Xebiacee · Bulgaria; Poland; Romania · 4 weeks ago

```json
{"@context":"https://schema.org/","@type":"JobPosting","title":"Senior Data Engineer (Stockholm)","description":"\u003Cp\u003EXebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.\u003C/p\u003E\u003Cp\u003EWe specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.\u003C/p\u003E\u003Cp\u003EIn the CEE region, we\u2019re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.\u003C/p\u003E\u003Ch3\u003EYou will be:\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003Edeveloping and maintaining ingestion pipelines handling billions of events per day,\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003Edesigning, building and optimising complex ETL pipelines,\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003Edeveloping the tools and frameworks that make up the data platform,\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003Esupporting other teams working on and with the platform,\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003Eworking with Data Scientists to take ML models into production,\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003Econtributing to the ML platform and to streaming solutions,\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003Esetting good practice across software and data engineering,\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003Eidentify bottlenecks in the existing platform and improving them.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EYour profile:\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003E5\u002B years of experience as a Data Engineer or in a comparable role,\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003Estrong Spark, Scala and Python skills,\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003Ehands-on experience with Google Cloud Platform,\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003Ea track record of building complex ETL pipelines,\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003Eexperience working with large scale data sets,\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003Eknowledge of Airflow or a comparable orchestration tool,\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003Eexperience with Git and CI/CD practices and tools, such as Jenkins,\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003Esolid software engineering fundamentals,\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003Eautonomy, ownership and clear communication in English,\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003Eopen to work on-site in Stockholm.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003ENice to have:\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003Eexperience with Kafka or other messaging systems,\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003Eexperience with streaming data and kubernetes,\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003Eknowledge of BigQuery or Redshift\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003Eprevious work on an ML platform or a data platform.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003ERecruitment Process:\u003C/h3\u003E\u003Cp\u003ECV review \u2013 HR call \u2013 Interview \u2013 Client Interview \u2013 Decision\u003C/p\u003E","identifier":{"@type":"PropertyValue","name":"Gurify","value":"senior-data-engineer-stockholm-at-xebiacee-3eb277a14ab8"},"url":"https://gurify.com/job/senior-data-engineer-stockholm-at-xebiacee-3eb277a14ab8","datePosted":"2026-08-24","validThrough":"2026-10-09T23:59:59Z","hiringOrganization":{"@type":"Organization","name":"Xebiacee","sameAs":"https://job-boards.greenhouse.io/xebiacee"},"directApply":false,"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressCountry":"SE"}}}
```

```json
{"@context":"https://schema.org/","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Jobs","item":"https://gurify.com/jobs"},{"@type":"ListItem","position":2,"name":"Sweden","item":"https://gurify.com/jobs/sweden"},{"@type":"ListItem","position":3,"name":"Senior Data Engineer (Stockholm)","item":"https://gurify.com/job/senior-data-engineer-stockholm-at-xebiacee-3eb277a14ab8"}]}
```
