Product

AI & Machine learning

Analysis & Big data

Freedom at work

Flexible working hours

Central office

Small teams

Work-life balance

Healthcare insurance

Stability

More than 25 days of vacation

Ok to work from home

Wish to have customer contact

Prefer not to travel in work

Fixed salary

Own responsibility

Python

Enhanza

Enhanza AB

Senior Analytics Engineer (Software Engineering Mindset)Location: Stockholm, Sweden (Hybrid, ~50% in-office) Type: Full-time Employment<h3>About the Mission</h3>Enhanza is on a mission to revolutionize how humans understand their business through an intuitive, self-service BI platform. We are not building internal dashboards that gather dust; we are building the Insight Builder—a SaaS product that empowers companies to take control of their data.We are a small, ambitious team driven by a simple motto: "Family and health first." We believe that elite performance comes from balance, not burnout. We work hard, we document rigorously, and we go home to our families on time.At Enhanza, you will collaborate closely with a network of skilled remote consultants across Europe. We operate with high trust and clear communication, using shared scrum boards and Slack to stay aligned. While we value flexibility, we also value presence—this role is key to bridging our physical office culture in Stockholm with our distributed engineering power.<h3>The Role</h3>We are looking for a Senior Analytics Engineer who thinks like a Software Engineer. You are not here to maintain legacy ETL scripts; you are here to architect and build the data backbone of our product.We have strategically separated infrastructure from application logic. We have dedicated DevOps resources to manage the "plumbing" (Kubernetes/GKE, CI/CD infrastructure), so you don't have to. Your focus is 100% on the code that moves and transforms data, not the containers it runs in.<h3>What You Will Build &amp; Own</h3><ul><li>Ingestion (The "E" &amp; "L"): You will write custom Python connectors using dlt (data load tool) and occasionally wrap Airbyte/Singer taps. You understand that data quality starts at the source.</li><li>Transformation (The "T"): You will manage our dbt projects. You aren't just writing SQL; you are building modular, tested, and documented data models that scale.</li><li>Orchestration: You will design robust flows in Prefect that handle failures gracefully and ensure data freshness.</li><li>Semantic Layer: You will model data in Cube, optimizing for pre-aggregations that ensure sub-second query performance for our end-users.</li></ul><h3>Who You Are</h3><ul><li>Senior &amp; Battle-Tested: You have long, proven hands-on experience building Modern Data Stacks. You have seen pipelines fail in production and know how to design them to be resilient.</li><li>Python Native: You are comfortable writing object-oriented Python. You treat your data pipelines as production software (Unit tests, CI/CD, DRY principles).</li><li>Architectural Clarity: You understand the nuance of multi-tenancy. You know why separating Customer Specific Logic from Core Platform Logic is critical in a SaaS architecture.</li><li>Structured Communicator: We work with remote teams. You document your work proactively. If it’s not in the docs or Jira, it doesn’t exist.</li></ul><h3>The Tech Stack</h3><ul><li>Languages: Python (Expert), SQL (Expert)</li><li>Ingestion: dlt, Airbyte, Singer</li><li>Transformation: dbt Core</li><li>Orchestration: Prefect</li><li>Storage: Google BigQuery</li><li>Semantic Layer: Cube (Cube.dev)</li></ul><h3>What We Offer</h3><ul><li>A "Grown-up" Culture: We offer the flexibility of a remote-first mindset with the stability of a Stockholm HQ. We expect excellence, but we respect your private life.</li><li>Focus: We hired DevOps to keep the lights on so you can focus on building value.</li><li>Impact: Your code will directly power the insights for thousands of users in the Insight Builder.</li></ul><h3>Requirements</h3><ul><li>Physical Location: You must live in the Stockholm area and be willing to work from our office at least 50% of the time to foster team collaboration.</li><li>Language: Fluent in English (Corporate language).</li><li>Work Permit: Must have a valid work permit for Sweden.</li></ul>

Senior Analytics Engineer (Software Engineering Mindset)

Stockholm

Data engineering

Google Cloud Platform

BigQuery

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