Senior Analytics Engineer – Databricks & Power BI

Seco Tools Aktiebolag; Fagersta kommun; On-site; SEK 700,000 - 900,000; Full time

Job summary

Seco Tools Aktiebolag in Fagersta, Sweden seeks a Senior Data Analyst to translate business needs into scalable analytics, owning the full analytics landscape from data ingestion to reporting. The role demands hands-on Databricks, Power BI development and strong data modelling skills.

You will design end-to-end data pipelines, build semantic models, and deliver dashboards with actionable insights while ensuring data quality and governance. Collaboration with stakeholders is essential.

Qualifications

• Proven experience with Databricks and Power BI.
• Strong expertise in data modelling, Kimball-based star schemas, DAX and report development.
• Hands-on experience developing data pipelines with Python, notebooks and SQL.
• A solid understanding of Medallion architecture and scalable data design.
• Experience translating business requirements into technical implementations.
• Experience with Tabular Editor 3, including advanced measure design, calculation groups and model.

Responsibilities

• Collaborate with business stakeholders to understand requirements and translate them into actionable analytics solutions.
• Design, develop and maintain Databricks data pipelines and transformations based on Medallion architecture.
• Build scalable Power BI and Tabular semantic models using star schema design and Kimball methodologies.
• Develop clear, user-focused Power BI reports and dashboards that provide actionable insights.
• Maintain data quality, integrity, security and performance throughout the analytics lifecycle.
• Promote standardization, reusability and continuous improvement across analytics solutions.

Skills

Data modeling

Kimball star schemas

DAX

Report development

Tools

Databricks

Power BI

Tabular Editor 3

Python

SQL

Job description

Seco Tools Aktiebolag in Fagersta, Sweden seeks a Senior Data Analyst to translate business needs into scalable analytics, owning the full analytics landscape from data ingestion to reporting. The role demands hands-on Databricks, Power BI development and strong data modelling skills.

You will design end-to-end data pipelines, build semantic models, and deliver dashboards with actionable insights while ensuring data quality and governance. Collaboration with stakeholders is essential.