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Senior BI/Data Engineer
Amsterdam, Noord-Holland, Netherlands
Live, first seen by us 46 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and implement integrations for new source systems and build data pipelines
Design, implement and document relational and dimensional data models
Develop and operate pipelines and orchestration in Azure Data Factory and Microsoft Fabric
Plan and run data migrations with validation and data-quality controls
Develop and maintain semantic models for Power BI reporting
From the employer’s posting
Design and implement integrations for new source systems and build reliable, maintainable data pipelines.
Design, implement and document enterprise data models, including relational and dimensional models.
Develop, optimize and operate data pipelines and orchestration using technologies such as Azure Data Factory, Microsoft Fabric, Azure Functions and Logic Apps.
Plan and execute data migrations with appropriate validation, reconciliation, data-quality controls and operational monitoring.
Develop and maintain trusted semantic models that enable scalable Power BI reporting, analytics and emerging AI use cases.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 20, 202646 days ago
- Recorded sightings
- 24
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
ACT Group is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Databricks
- Power BI
- Snowflake
Where the posting names them
- Hands-on experience with modern data platforms such as Microsoft Fabric, Azure Synapse Analytics, Databricks or Snowflake. - Strong SQL skills and practical experience with Python for data engineering, automation or testing. - Strong understanding of modern data architectures, including data warehouses, data lakes and Lakehouse patterns.
- Strong data-modelling skills, particularly relational and dimensional modelling; familiarity with additional modelling approaches is beneficial. - Ability to design, troubleshoot and optimize data transformations, SQL workloads and data pipelines for performance, reliability and maintainability. - Experience with Power BI, semantic models or comparable analytics and visualization technologies is an advantage.
- Design, implement and document enterprise data models, including relational and dimensional models. - Develop, optimize and operate data pipelines and orchestration using technologies such as Azure Data Factory, Microsoft Fabric, Azure Functions and Logic Apps. - Plan and execute data migrations with appropriate validation, reconciliation, data-quality controls and operational monitoring.
- A degree in Computer Science, Information Technology, Business Information Technology, Data Engineering or a comparable field, or equivalent professional experience. - 5+ years of relevant experience in data engineering, including substantial hands-on experience with Microsoft Azure or another major cloud platform. - Hands-on experience with modern data platforms such as Microsoft Fabric, Azure Synapse Analytics, Databricks or Snowflake.
- 5+ years of relevant experience in data engineering, including substantial hands-on experience with Microsoft Azure or another major cloud platform. - Hands-on experience with modern data platforms such as Microsoft Fabric, Azure Synapse Analytics, Databricks or Snowflake. - Strong SQL skills and practical experience with Python for data engineering, automation or testing.
- Experience with Git, automated testing and CI/CD practices for data and analytics solutions. - Experience with relevant Azure services such as Azure Data Factory, Azure Functions, Logic Apps, Synapse Analytics or Azure Automation is an advantage. - Knowledge of streaming, event-driven architectures or real-time analytics is an advantage.
As a Senior BI/Data Engineer at ACT, you will play a key role in modernizing and scaling our enterprise Data Platform. Combining hands-on engineering with technical ownership, you will design reliable, scalable data solutions across data integration, modelling, analytics engineering and platform architecture. Beyond delivery, you will help shape our platform roadmap and engineering standards, with a focus on architecture, automation, performance, security and cost efficiency. Microsoft Fabric is an important part of our modernization journey, alongside technologies such as Databricks where they add value. You will also have the opportunity to explore practical applications of Generative AI across development, documentation and platform operations. We value ownership, collaboration, knowledge sharing and continuous improvement. In essence, your role involves:
- Plan and execute data migrations with appropriate validation, reconciliation, data-quality controls and operational monitoring. - Contribute to the modernization of the Data Platform using Microsoft Fabric and, where appropriate, Databricks and other modern data technologies. - Develop and maintain trusted semantic models that enable scalable Power BI reporting, analytics and emerging AI use cases.
- Contribute to the modernization of the Data Platform using Microsoft Fabric and, where appropriate, Databricks and other modern data technologies. - Develop and maintain trusted semantic models that enable scalable Power BI reporting, analytics and emerging AI use cases. - Translate business requirements into sustainable technical solutions and communicate design choices clearly to technical and non-technical stakeholders.
- Ability to design, troubleshoot and optimize data transformations, SQL workloads and data pipelines for performance, reliability and maintainability. - Experience with Power BI, semantic models or comparable analytics and visualization technologies is an advantage. - Experience with Git, automated testing and CI/CD practices for data and analytics solutions.
Your next step
Complete your application on careers.actgroup.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Your Role in Our Story:
As a Senior BI/Data Engineer at ACT, you will play a key role in modernizing and scaling our enterprise Data Platform. Combining hands-on engineering with technical ownership, you will design reliable, scalable data solutions across data integration, modelling, analytics engineering and platform architecture.
Beyond delivery, you will help shape our platform roadmap and engineering standards, with a focus on architecture, automation, performance, security and cost efficiency. Microsoft Fabric is an important part of our modernization journey, alongside technologies such as Databricks where they add value. You will also have the opportunity to explore practical applications of Generative AI across development, documentation and platform operations.
We value ownership, collaboration, knowledge sharing and continuous improvement. In essence, your role involves:
- Own and continuously improve key components of ACT’s Data Platform architecture and engineering standards.
- Design and implement integrations for new source systems and build reliable, maintainable data pipelines.
- Design, implement and document enterprise data models, including relational and dimensional models.
- Develop, optimize and operate data pipelines and orchestration using technologies such as Azure Data Factory, Microsoft Fabric, Azure Functions and Logic Apps.
- Plan and execute data migrations with appropriate validation, reconciliation, data-quality controls and operational monitoring.
- Contribute to the modernization of the Data Platform using Microsoft Fabric and, where appropriate, Databricks and other modern data technologies.
- Develop and maintain trusted semantic models that enable scalable Power BI reporting, analytics and emerging AI use cases.
- Translate business requirements into sustainable technical solutions and communicate design choices clearly to technical and non-technical stakeholders.
- Demonstrate data and analytics solutions to business stakeholders and support adoption through clear documentation and knowledge sharing.
Your Expertise:
To be successful in this role, we are looking for candidates with the following qualifications and attributes:
- A degree in Computer Science, Information Technology, Business Information Technology, Data Engineering or a comparable field, or equivalent professional experience.
- 5+ years of relevant experience in data engineering, including substantial hands-on experience with Microsoft Azure or another major cloud platform.
- Hands-on experience with modern data platforms such as Microsoft Fabric, Azure Synapse Analytics, Databricks or Snowflake.
- Strong SQL skills and practical experience with Python for data engineering, automation or testing.
- Strong understanding of modern data architectures, including data warehouses, data lakes and Lakehouse patterns.
- Strong data-modelling skills, particularly relational and dimensional modelling; familiarity with additional modelling approaches is beneficial.
- Ability to design, troubleshoot and optimize data transformations, SQL workloads and data pipelines for performance, reliability and maintainability.
- Experience with Power BI, semantic models or comparable analytics and visualization technologies is an advantage.
- Experience with Git, automated testing and CI/CD practices for data and analytics solutions.
- Experience with relevant Azure services such as Azure Data Factory, Azure Functions, Logic Apps, Synapse Analytics or Azure Automation is an advantage.
- Knowledge of streaming, event-driven architectures or real-time analytics is an advantage.
- A collaborative and proactive mindset, strong communication skills, and the ability to take ownership while continuously learning and sharing knowledge.
If you meet these criteria and are ready to contribute your expertise to a dynamic and challenging environment, we encourage you to apply.
Source details
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- Pay
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- Location & working pattern
Amsterdam, Noord-Holland, Netherlands
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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