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Senior Data Engineer (SaaS / Remote)

  • Remote
    • Amsterdam, Noord-Holland, Netherlands
  • €45,000 - €78,000 per year
  • Data

Job description

Ready to own it, build it, and grow it?

About us:

We are Publitas! We’re a remote-first, fast-growing SaaS company helping brands turn static content into digital discovery experiences that drive results.

We’re not about busywork, hierarchy, or hand-holding. We hire sharp minds, trust them fully, and measure success by real results, not noise. If you thrive in autonomy, challenge, and high ownership, you’ll love it here.


This role is for you if you… 

  • Love to build end-to-end data solutions — from collection (front-end tracking, APIs) through pipelines, storage, analytics, and automated insights.

  • Enjoy connecting systems like Snowplow, Databricks, and Power BI to create a single source of truth for business and product teams.

  • Care deeply about data quality, documentation, versioning, and automation, not just raw pipelines.

  • Take pride in maintaining a robust development lifecycle (Dev → QA → Prod) for data.

  • Thrive in cross-functional collaboration with teams like Sales, Finance, Product, and Operations.

  • Are motivated by designing scalable architectures that fuel business growth and innovation.

This role is NOT for you if you…

  • Need layers of process or someone to constantly tell you what to do

  • Prefer “business as usual” over change

  • Want a team where mediocre is okay

  • Have never worked remotely and think async means “lonely”

  • Are waiting for permission instead of taking initiative

Job requirements

The work you’ll do…

  • Designing, developing, and maintaining scalable data architectures using Databricks, Azure Data Factory, AWS (S3, RDS), and Azure Cosmos DB.

  • Managing ETL/ELT pipelines that integrate event data (Snowplow), app data (FMP1/FMP2), and external sources (HubSpot, MoneyBird, GA, Firebase, KNMI, etc.)

  • Building CI/CD for data engineering - versioned workflows, automated testing, and deployment pipelines in GitHub + Databricks.

  • Defining QA and data validation frameworks to ensure data accuracy, reproducibility, and governance across environments.

  • Owning the orchestration layer, scheduling, and monitoring via Databricks Jobs, Azure Data Factory, or equivalent tools.

  • Designing and optimizing data models for analytical workloads (Synapse / BigQuery), including schema evolution, partitioning, and query tuning.

  • Supporting analytics and product teams by delivering curated, reliable datasets and collaborating on BI dashboards (Power BI / Looker).

  • Documenting the data ecosystem - lineage, naming conventions, transformation logic, and schema definitions.

  • Proactively identifying bottlenecks, tech debt, or scalability risks and proposing improvements.

Who you are…

  • 5+ years of experience as a Data Engineer, Analytics Engineer, or Full-Stack Data Developer in cloud-native environments.

  • Deep experience with Python, SQL, and Spark (PySpark/Databricks).

  • Familiar with data modeling (Kimball/Star schema) and modern ELT practices.

  • Hands-on with data orchestration and CI/CD for data workflows (e.g., Databricks Workflows, Airflow, Azure Data Factory).

  • Knowledge of version control (Git) and data documentation tools (dbt docs, DataHub, or similar).

  • Understanding of data quality frameworks (Great Expectations, Soda, custom validation).

  • Skilled in data visualization and integrating pipelines into BI tools like Power BI or Looker

  • Strong communicator who can translate technical insight into business context.

  • Curious, organized, and relentlessly focused on improving data usability and reliability.

  • Comfortable in a fully remote, asynchronous environment and passionate about continuous learning.

Nice-to-Haves

  • Experience with event tracking pipelines (Snowplow, Segment, GA4).

  • Exposure to data contracts and schema governance.

  • Familiarity with streaming architectures (Kinesis, Kafka).

  • Experience optimizing Databricks Unity Catalog or Azure Synapse Analytics.

  • Knowledge of machine learning pipelines or data products is a plus.

What We Provide to Help You Win…

  • Salary: €45,000–€78,000 per year (gross), depending on your experience level and location.

  • 25 vacation days + your local national holidays

  • A top-tier MacBook and remote-ready gear

  • Monthly wellness budget to invest in your health

  • Co-Working allowance

  • Events, training, or courses that directly and primarily contribute to your work at Publitas

  • Free books on Kindle and Audible

  • Free Publitas Swag (merchandise)

How to Apply…

We don’t ask for CVs or cover letters. Why? Because they rarely tell us who you are or what you’re truly great at.

Instead, we ask smart questions and give you a chance to show us what you’d bring to the role.

No fluff. Just real insight into what it’s like to work together.

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