Data Engineer, BigQuery, data products, data mesh

Posted 2 Days Ago
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Amsterdam, NLD
In-Office
Entry level
Information Technology • Professional Services • Consulting
The Role
Build and improve data products supporting a data mesh, including ingestion and transformation pipelines, data quality checks, data modeling, access management, documentation, and security reviews. Collaborate with data engineers, data stewards, product owners, and software engineers across Sweden and Amsterdam. Improve processes, advocate for data mesh practices, provide technical guidance, and optimize the existing technology stack.
Summary Generated by Built In

*Location : Sweden or Amsterdam. Onsite 2-3 days/week

*40 hours per week*

*English speaking only*


As a data and analytics team within the customer domain, we need data engineering support to transform existing data into data products to enable the data mesh. The work will include ingestion and transformation pipelines, data quality checks, modeling, and the setup of proper access management. This assignment will also involve stakeholder management with product and software engineering, documentation to ensure discover ability, process improvement, and review of our current setup regarding tech stack, best practices, and security.


The scope of the consultant services is to assist in:     

Build and improve data products, and organise our team's work together with other data engineers and data stewards based in both Amsterdam and Sweden. For this role, specific technical skills are crucial, but interpersonal skills are also very important.



Requirements

Requirements:

  • Data products and data mesh knowledge: experience with practical implementation from levels and schemas to data contracts and data access management
  • BigQuery: advanced experience, ideally in-depth Analytics Hub experience for data access management
  • Communication and interpersonal skills to help advocate for the data mesh, but also to guide colleagues technically
  • GCP in general: especially tools used for data pipelines like Cloud Run (jobs), Workflows; Dataflow is a big plus
  • CI/CD and DataOps: GitHub Actions, Observability/Monitoring, IaC with Terraform
  • dbt: for data modelling and transformation pipelines
  • SQL: advanced skills for pipeline optimisation,
  • Stakeholder management (software engineers, POs)



Most important:

  1. Data products and data mesh knowledge
  2. BigQuery
  3. Communication and interpersonal skills


Skills Required

  • Practical experience implementing data products and data mesh, including schemas, data contracts, and data access management
  • Advanced BigQuery experience, ideally including Analytics Hub for data access management
  • Strong communication and interpersonal skills
  • Experience with Google Cloud Platform data pipeline tools, especially Cloud Run Jobs and Workflows
  • Dataflow experience
  • Experience with CI/CD and DataOps
  • Experience with GitHub Actions, observability or monitoring, and Terraform-based infrastructure as code
  • Experience with dbt for data modeling and transformation pipelines
  • Advanced SQL skills for pipeline optimization
  • Stakeholder management experience with software engineers and product owners
  • English-speaking proficiency
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The Company
45 Employees
Year Founded: 2019

What We Do

Avanda Solutions is a STEM professional services consultancy headquartered in Wollerau, Switzerland, serving enterprise clients across Switzerland and Europe. It helps organizations design, build, and scale complex technology initiatives across technology, life sciences, and engineering. Its offerings span strategic advisory, managed services, technology solutions—including cloud, data, custom software, and systems integration—and access to senior STEM professionals for large, mission-critical business transformations.

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