11 дней назад
Senior Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (AI): Reshaping the data platform behind a large digital healthcare provider with an accent on data foundations, warehouse strategy, source integration, and trustworthy reporting. Focus on designing production data platforms, building observability and data contracts, evaluating warehouse technologies, and using AI for pipeline and transformation work.
Location: Hybrid in Stockholm, with on-site work Monday–Thursday at Sveavägen 63; Fridays are flexible. Applicants must already have the right to work in Sweden.
Company
is a digital healthcare provider combining physical clinics with a digital platform serving consultations across Sweden, Germany, and Norway.
What you will do
- Reshape the data platform foundations, including multi-tenancy, retention, and data contracts with backend services.
- Define the future warehouse strategy, evaluating self-hosted Postgres, Snowflake, BigQuery, and other options.
- Unify operational databases, Amplitude product analytics, and S3-based partner integrations.
- Build observability through lineage, freshness monitoring, and meaningful alerting.
- Own trustworthy reporting used by finance, operations, and the board.
- Collaborate directly with backend, product, and finance teams to improve how data is produced and consumed.
Requirements
- Production experience designing and running data platforms, including build-versus-buy and transformation decisions.
- Strong Python and SQL skills, with practical knowledge of Postgres warehouse usage.
- Experience with dbt or an equivalent tool and data modelling concepts such as staging, marts, and tests.
- Working knowledge of managed warehouses such as Snowflake, BigQuery, or Redshift.
- Experience with orchestration tools such as Airflow, Dagster, or Prefect, and an understanding of data contracts.
- English is the working language within tech; Swedish is a strong plus. Healthcare data experience is a plus, GDPR fluency is expected, and Patientdatalagen familiarity is a bonus.
Culture & Benefits
- High ownership and direct influence over a data platform being rebuilt from its foundations.
- Small engineering team of approximately 25 people with visible impact and autonomy.
- Permanent full-time employment with a six-month probation period.
- Collective agreement, 30 days of vacation, wellness allowance, and personal development budget.
- Daily use of Claude and OpenAI to accelerate pipeline, schema, transformation, and analysis work.
Hiring process
- Internal recruitment only; agencies, consultants, and external recruiters are not accepted.
- Start date is as soon as a suitable candidate is found, with consideration for the notice period.
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