Senior Data Engineer

Doktor; Stockholms kommun; On-site; SEK 900,000 - 1,300,000; Full time

Benefits offered by this job

Real influence

Small team impact

Autonomy

30 days vacation

Wellness allowance

Personal development budget

Job summary

Doktor.se is Sweden's leading digital health provider building a new data platform. Join a small data engineering team to redesign foundational data warehouses, unify multiple sources, and create trusted reporting for finance, operations, and leadership.

You’ll work with Python, SQL, and modern tooling to push AI-driven automation into pipelines. You will collaborate across backend, product and finance, shaping how data is produced upstream, not just consumed downstream.

Qualifications

• Designed and run data platforms in production

Responsibilities

• Reshape and own the data platform foundations
• Unify and integrate operational databases, Amplitude analytics and S3 data
• Build observability: lineage, freshness, and meaningful alerts
• Own reporting used by finance, operations and board
• Collaborate with backend, product and finance teams
• Apply AI to pipeline boilerplate, schema generation, and exploration

Skills

Python

SQL

Postgres

dbt

Data modeling

Orchestration tools

Education

Bachelor's degree in a relevant field

Tools

Airflow

Dagster

Prefect

AWS

Job description

Why Doktor.se

Doktor.se is Sweden's largest digital healthcare provider. We combine physical clinics with a digital platform serving millions of consultations per year across Sweden, Germany, and Norway. Our 25-person engineering team has startup autonomy inside a profitable, international organization with 1,000+ employees and over 1B SEK in revenue.

We run OpenAI and Anthropic models in production across patient and clinician workflows — and that footprint is growing fast. AI is a working tool here, not a buzzword. We use it daily, we expect you to as well, and we hire people who treat it as a force multiplier.

What you'll do

Our data platform works, but it was built to solve yesterday's problems. We have data scattered across Postgres databases, Amplitude, S3 file dumps, and a tangle of Python jobs that move it around. The reports get built and the business runs on them. But trust is brittle, reconciliation is too manual, and the foundations need work before we can scale to where we're going.

We need someone who can help us rebuild this — not maintain what we have, but reshape it. If you want a place where the warehouse is clean and the pipelines just run, this isn't it. If you want to redesign a data platform from foundations up, with real ownership and the leverage to make it good, here's what you'd own:

• Reshape the data foundations — multi-tenancy, retention, and data contracts with backend services.
• Decide what the warehouse actually is: self-hosted Postgres + dbt, managed Snowflake or BigQuery, or something else. You'll shape this.
• Unify three data sources that don't currently talk to each other: our operational databases, Amplitude product analytics, and a long tail of S3-based partner integrations.
• Build observability into the platform — lineage, freshness, and alerting that actually means something.
• Own reporting that finance, operations, and the board rely on. Make those reports trustworthy by design, not by manual reconciliation.
• Work directly with backend, product, and finance teams. You're not a service desk — you're a peer who shapes how data gets produced upstream, not just consumed downstream.
• Use AI aggressively for pipeline boilerplate, schema generation, transformation logic, and exploratory analysis — the same discipline we hold ourselves to.
• You'll be part of a small data engineering team. That's a lot of ownership and not a lot of cover. The right person sees that as opportunity.

What we're looking for

• You’ve designed and run data platforms in production — not just written DAGs. You've thought about what to build vs buy, where transformations belong, and how to keep schemas honest as products evolve.
• You're fluent in Python and SQL, with strong opinions about how Postgres should be used as a warehouse (and when it shouldn't).
• You've used dbt or equivalent in a real environment and understand data modelling — staging, marts, tests.
• You have working knowledge of one or more managed warehouses (Snowflake, BigQuery, Redshift) and can evaluate them honestly against self-hosted options.
• You're comfortable with orchestration tools — Airflow, Dagster, Prefect, whichever — and know what an orchestrator is for.
• You think about data contracts as a product problem, not just a pipeline problem, and can make that case to backend engineers.
• You use AI in your daily work and can talk about how. If your answer is "I haven't really tried it yet," this isn't the role.
• Healthcare data experience is a plus. GDPR fluency is expected. Patientdatalagen familiarity is a bonus.
• You have a relevant university degree or equivalent experience.

Tech stack

• Sources: Postgres (operational), Amplitude (events), S3 (integrations and dumps)
• Languages: Python, SQL
• Cloud: AWS, multi-account
• Warehouse: Postgres today, open question for tomorrow
• Transformation: likely dbt going forward
• Orchestration: open question — you'll shape this
• AI: Claude and OpenAI in our daily workflow

What we offer

• Real influence. The data platform is being rebuilt and you're at the centre of it.
• Small team, direct impact. 25 engineers — your work is visible, not lost in a machine.
• Autonomy. No micromanagement, no endless approval chains.
• Collective agreement, 30 days vacation, wellness allowance, personal development budget.

Practical details

• Start: As soon as we find the right person. We'll accommodate your notice period.
• Employment: Permanent, full-time. Six month probation period.
• Location: On-site, Monday–Thursday at Sveavägen 63, Stockholm. Fridays are flexible.
• Language: You'll be working with our entire org so Swedish is a strong plus, but English is our working language within tech.
• Work permit: You must already have the right to work in Sweden.

We handle recruitment internally — no agencies, no consultants, no external recruiters.