11 bästa jobben som specialist data engineering i stockholm (Rekryterar nu!)

Advisory AI Data Specialist
Dell Technologies —Stockholm
- Engelska
- Kandidatexamen
- Kommunikationsfärdigheter
8 tim
BI-Specialist
Techrytera AB —Stockholm
7 tim
Lead Machine Learning Engineer
Curamando —Stockholm
- Python
Salesforce Marketing Cloud (SFMC) Developer
Ultra Group AB —Stockholm
- Försäljning
- Salesforce
- Marknadsföring
Founding Operator Sweden
Gigs —Stockholm
- 130 000SEK - 170 000SEK per år
Senior Mechanical Design Lead
Munters Europe AB (MEA) —Kista
- Engelska
- Masterexamen
- Kandidatexamen
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Solutions Architect - Nordics Fungible
Databricks —Stockholm
- Python
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2d
Risk Engineer
AIG Europe S.A Filial i Sverige —Stockholm
- Microsoft Excel
- Personalansvar
- Engelska
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Product Solutions Specialist - Europe, 100% remote
LimeFlight —Stockholm
- Heltid
- Distansjobb
- Engelska
- Kandidatexamen
- Agile
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1 tim
IT Incident, Problem and Change Manager
SSC – Swedish Space Corporation —Solna
- Engelska
- Företagsekonomi
- Kommunikationsfärdigheter
- Betald semester
2 tim
Sourcing Manager
Tele2 —Kista
- Heltid
- Engelska
- Business development
- Företagsekonomi
1 tim

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Data Scientists AI-team
Region Stockholm —Stockholm
Du utvecklar prediktiva modeller och AI-lösningar som ger bättre beslutsunderlag och skapar rapporter som gör komplexa insikter begripliga.
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BI-analytiker
Techster Solutions —Stockholm
Du kommer att samarbeta nära både tekniska specialister och verksamhetsnära användare och bidra till att våra data blir ett effektivt beslutsstöd.

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specialist data engineering jobs near stockholm

Advisory AI Data Specialist

Dell Technologies -
Stockholm

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Jobbinformation

8 timmar sedan

Kvalifikationer

Finska
Engelska
Kandidatexamen
ETL
Kommunikationsfärdigheter

Fullständig jobbeskrivning

Within the Forward Deployment Engineering (FDE) Unit, the Advisory AI Data Specialist is the data expert who makes customer data ready for AI and GenAI workloads. You focus on removing data bottlenecks so FDE Units can move quickly from concept to live, value-generating AI workloads on Dell infrastructure. We will prioritise passionate individuals who share our excitement to drive human progress through technology.

Join us to do the best work of your career and make a profound social impact as an Advisory AI Data Specialist on our Forward Deployment Engineering (FDE) Team in Solna, Sweden/Oslo, Norway/Copenhagen, Demark/Helsinki, Finland.

What You’ll Achieve

You will work with customer teams to map data landscapes, build integrations and pipelines, and configure governance and access controls so that data used in proofs of value is secure, compliant, and scalable to production.

You Will:

Lead data readiness assessments for FDE engagements, including cataloging data assets, ownership, quality, accessibility, and AI suitability
Perform hands-on data integration and transformation work to prepare AI-ready datasets for PoV and production solutions
Design and configure data governance and compliance controls (e.g., access control, sensitive data handling, retention, auditability) in line with regulatory and organizational needs
Define integration patterns and pipelines that deliver AI-ready data with appropriate security, risk, and privacy controls
Ensure PoV pipelines are production-aware from the start, including patterns for monitoring, reliability, performance, and maintainability
Collaborate closely with AI Architects to align data flows with the AI software stack and avoid data-related blockers
Work with AI Strategists and customer stakeholders to align data work with AI governance frameworks, operating models, and stewardship processes
Contribute to documentation such as data flow diagrams, data catalogs, governance artifacts, and runbooks for AI data operations
Coach customer data engineers and platform teams on building and maintaining AI-ready data pipelines and governance practices

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

4-8 or more years in data engineering, analytics platforms, or AI data roles within large or complex organizations
Experience running data readiness assessments and preparing data for analytics or AI use cases
Hands-on skills in building data integrations and ETL/ELT processes and transforming raw data into AI-ready formats
Experience configuring data governance and compliance controls for secure and compliant use of data, including sensitive data
Proven ability to scale data pipelines from pilot to production while maintaining performance, reliability, and compliance
Clear written and verbal communication skills to explain data flows, governance decisions, and operational requirements to technical and non-technical audiences
Ability to interact with senior business leaders within large Enterprise organisations and companies
Ability to travel to customer sites and Dell locations as needed, in line with business requirements and applicable laws and Dell policies. Potential sites may include Nordics, Europe, Middle East, Africa, USA & United Kingdom, therefore the applicant must have the ability to attend business meetings in these locations
Finnish / Nordics language skills
Proficient in English

Desirable Requirements

Bachelor’s degree in Computer Science, Data/Information Management, Engineering, or a related field
Experience delivering production data pipelines and integrations for analytics or AI/ML use cases
Familiarity with modern data platforms, ETL/ELT tooling, and AI/ML-related data patterns (e.g., feature stores, vectorization, RAG-related data flows)
Experience collaborating with security, compliance, architecture, and business stakeholders on data and AI initiatives

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specialist data engineering jobb i stockholm

Advisory AI Data Specialist

BI-Specialist

Lead Machine Learning Engineer

Salesforce Marketing Cloud (SFMC) Developer

Founding Operator Sweden

Senior Mechanical Design Lead

Solutions Architect - Nordics Fungible

Risk Engineer

Product Solutions Specialist - Europe, 100% remote

IT Incident, Problem and Change Manager

Sourcing Manager

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