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Forward Deployed Engineer

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Onsite

Forward Deployed Engineer

Diggibyte Technologies

Forward Deployed Engineer

Skills

Google Cloud PlatformData EngineeringPythonDatabricksMachine LearningAIAWSGitHubAzure

10 days ago

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Important information


Contract type:

Permanent

Location:

Stockholm, Sweden

Work mode:

Onsite

Published on:

14 October 2026

What they need


Stockholm, Sweden | Hybrid | Full-time, Permanent employment | 6+ Years

 

Build what matters. Challenge what's possible.

 

Join Diggibyte Technologies

 

At Diggibyte, a Databricks Gold Partner headquartered in Sweden, we're looking for a Forward Deployed Engineer who brings more than technical expertise.

 

Someone who asks why

, challenges assumptions, and doesn't settle for the first solution that works.

 

You'll work directly with enterprise customers to design, build, and deploy data and AI solutions that solve real business problems. From technical discovery to production, you'll have the opportunity to influence how solutions take shape.

 

What You'll Do

 

  • Own the architecture:

    Design and deliver end-to-end, production-grade data and AI solutions on Databricks.

  • Solve customer challenges:

    Translate business needs into technical solutions, advising customers on the right approach.

  • Build for scale:

    Develop data pipelines, Lakehouse architectures, governed AI applications, and integrations.

  • Drive technical decisions:

    Balance security, performance, scalability, and business value.

  • Innovate and improve:

    Explore new Databricks capabilities, develop reusable solutions, and contribute to engineering best practices.

What You'll Bring

 

  • 6+ years of experience in Data Engineering, Software Engineering, or AI/ML.
  • Proven experience delivering end-to-end production solutions on Databricks.
  • Strong expertise in Python, Apache Spark, Delta Lake, and Unity Catalog.
  • Experience with Databricks Workflows, CI/CD, Databricks Asset Bundles, and at least one cloud platform (Azure, AWS, or GCP).
  • Hands-on experience with AI-assisted development tools such as Cursor or GitHub Copilot to accelerate coding, debugging, and development workflows.
  • Understanding of modern data architectures, AI/ML integration, and production engineering.
  • Experience engaging directly with enterprise customers and communicating technical concepts clearly.

How You Think Matters

 

We're looking for engineers who bring ideas to the table, not just execute them.

  • Challenge constructively:

    Question assumptions and confidently suggest better approaches.

  • Embrace feedback:

    Listen openly, adapt quickly, and turn feedback into improvement.

  • Think in solutions:

    Explore alternatives, explain trade-offs, and approach problems with initiative and enthusiasm.

  • Take ownership:

    Be accountable, proactive, and committed to delivering results.

  • Stay curious:

    Experiment, keep learning, and enjoy solving unfamiliar challenges.

Nice to Have

 

  • Databricks Professional Certification.
  • Experience with AI/BI Genie, Metric Views, MLflow, Model Serving, or AI Gateway.
  • Experience developing AI agents or customer-facing AI applications.
  • Nordic language skills.

Why Diggibyte?

 

  • Meaningful impact:

    See your engineering work translate into real business outcomes.

  • Close to leadership:

    Report directly to the CTO and collaborate with experienced Databricks engineers.

  • Technical growth:

    Work with evolving data and AI technologies in a collaborative engineering environment.

What We Offer

 

A full-time, permanent employment position based in Stockholm with a hybrid (80/20) work model, Swedish pension, wellness allowance ( friskvårdsbidrag

), and flexible working arrangements.

 

Language:

Fluent English required. A Nordic language is a plus.

 

Recruitment Process:

HR Screening → Intro Interview (Mindset & Collaboration) → Technical Assessment → CTO Interview

 

Questions?

[email protected]  

  • We welcome applications from all qualified candidates and recruit based on skills, experience, and potential.

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