Senior Data Engineer: Agentic Platform & Pipelines

Fountain; Sweden; On-site; SEK 900,000 - 1,200,000; Full time

Benefits offered by this job

Health plans

Retirement plan

Flexible vacation policy

Paid holidays

Monthly lunch stipends

Education allowances

Home office reimbursement

Job summary

Fountain is seeking a senior data/analytics engineer to design and build agentic development workflows for the data team, authoring and testing models, and extending pipelines. You will push changes upstream into the product, verify data architecture during development, and build a robust evaluation layer to ensure trustworthy outputs for non-technical teams.

The role emphasizes collaboration with GTM, Finance, Product, and Support, while staying hands-on in the platform to fix issues and

Qualifications

• 5+ years in data engineering, analytics engineering, or equivalent depth.
• Strong SQL and data modeling capabilities.
• Hands-on production experience with dbt and orchestration tools (Dagster, Airflow, Prefect, Temporal).
• Proficiency in Python and software engineering practices (version control, testing, CI/CD).
• Experience shipping agentic or LLM-powered systems to production.
• Sound judgment on data governance and multi-tenant data handling.

Responsibilities

• Design and build agentic development workflows for the data team, including agent-authored models and pipelines.
• Push upstream improvements into product and ensure data architecture remains solid during development.
• Build evaluation layers with regression suites and observability for agents.
• Develop semantic context, MCP surfaces, access controls, and trusted outputs for non-technical teams.
• Drive cross-functional adoption with GTM, Finance, Product, and Support.

Skills

Data engineering

Analytics engineering

SQL

dbt

Dagster/Airflow/Prefect/Temporal

Python

LLM/Agentic systems

Data governance/PII

Tools

Dagster

Airflow

Prefect

Temporal

dbt

Job description

Fountain is seeking a senior data/analytics engineer to design and build agentic development workflows for the data team, authoring and testing models, and extending pipelines. You will push changes upstream into the product, verify data architecture during development, and build a robust evaluation layer to ensure trustworthy outputs for non-technical teams.

The role emphasizes collaboration with GTM, Finance, Product, and Support, while staying hands-on in the platform to fix issues and