Analytics Engineer & Developer Analytics Engineer & Developer at GFT Technologies SE

✨ The Stack take on this GFT Technologies SE job

• 🏢 GFT Technologies SE has 4 jobs here, 4 with visa sponsorship see all
• 🛂 Visa: Highly Qualified Professional permit. Education: Higher education degree guide
• 💡 No salary shown. Ask GFT Technologies SE if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

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About the role

Responsibilities:
- Design and maintain enterprise semantic models and tabular datasets to support BI and analytics use cases.
- Build, optimize and govern Power BI datasets, measures (DAX) and storage modes for performance and scalability.
- Manage Power BI Premium capacity: query cost controls, workspace administration, governance and access policies.
- Implement data engineering tasks: ETL/ELT pipelines, data transformations, partitioning and incremental refresh strategies.
- Ensure data governance, security and Row-Level Security (RLS) across semantic models and reports.
- Optimize performance across T-SQL, stored procedures, DAX and VertiPaq storage; troubleshoot bottlenecks.
- Collaborate with business stakeholders and cross-functional teams to gather requirements and define KPIs.
- Support key users of Power BI / Microsoft Fabric and keep solutions aligned with cloud and AI best practices.

Requirements:
- Advanced Power BI expertise: administration, governance, DAX, Premium environments and storage modes.
- Strong SQL Server / Azure skills, including advanced T-SQL and experience with large-scale data environments.
- Proven data modelling experience (semantic models, TOM/TMDL) and familiarity with Tabular Object Model concepts.
- Hands-on data engineering experience: ETL/ELT design, pipelines and Azure Data Factory or equivalent tooling.
- Demonstrated performance tuning skills for T-SQL, DAX and storage/refresh strategies (partitioning, incremental refresh).
- Solid understanding of data governance, security, access control and RLS implementation.
- Desirable: experience with Microsoft Fabric, lakehouse architectures, Direct Lake/Import/DirectQuery trade-offs, Power Query/M and version control (Git).

Responsibilities

Design and maintain enterprise data models, semantic layers, and end-to-end data pipelines to support BI solutions. Manage Power BI Premium capacity, governance, and security while optimizing performance across T-SQL and DAX.

Requirements

Requires advanced expertise in Power BI, SQL Server/Azure, and data engineering processes including ETL/ELT. Candidates should have proven experience in semantic modeling and the ability to translate business needs into scalable technical architectures.

Key skills

• Power BI — in 48 other listings on The Stack
• DAX — in 11 other listings on The Stack
• T-SQL — in 1 other listing on The Stack
• Azure Data Factory — in 14 other listings on The Stack
• Data Modelling — in 24 other listings on The Stack
• ETL/ELT — in 20 other listings on The Stack
• Microsoft Fabric — in 11 other listings on The Stack
• SQL Server — in 10 other listings on The Stack
• Data Governance
• Row-Level Security
• Semantic Modeling
• Azure
• Power Query
• Git
• Data Visualization
• Performance Optimization

On The Stack (as of 2026-11-05)

• GFT Technologies SE has 3 other listings on The Stack, 3 of them marked as offering visa sponsorship.
• 76 visa-sponsored jobs in Spain on The Stack, posted in the last 60 days.

Frequently asked questions about GFT Technologies SE

Is this Analytics Engineer & Developer Analytics Engineer & Developer role still open?

It was posted on 2026-05-20. Listings more than 30 days old may no longer be active, so check GFT Technologies SE's site before applying.

Does GFT Technologies SE offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on GFT Technologies SE's site.

Where is this role located?

The listing gives the location as Spain. It is marked on-site.

What skills does this role ask for?

The listing names: Power BI, DAX, T-SQL, Azure Data Factory, Data Modelling, ETL/ELT, Microsoft Fabric, SQL Server, Data Governance, Row-Level Security, Semantic Modeling, Azure, Power Query, Git, Data Visualization, Performance Optimization.