Senior Analytics Engineer: Global Data Platform (Remote)

Jobgether; Switzerland; Remote; CHF 140,000 - 190,000; Full time

Benefits offered by this job

Remote/Hybrid options

Competitive salary

Career development

Mentorship programs

Centers of Excellence

Education reimbursement

Corporate events

Knowledge-sharing communities

Anniversary gifts

Job summary

Jobgether, on behalf of a partner company, seeks a Senior Analytics Engineer in Switzerland to build a world-class data platform supporting a global mining operation. You will bridge data engineering and BI to turn complex data into actionable insights for international stakeholders.

You will design scalable data products, model data, and establish governance and KPI frameworks. The role involves collaborating with data engineers, analytics architects, and senior leaders to deliver dashboards

Qualifications

• At least 8 years of experience in data analytics, data engineering, or related software engineering.
• Strong SQL skills with data modelling and indexing expertise.
• Hands-on experience with Azure cloud services for data storage and processing.
• Proficiency in Databricks for building data products and large-scale transformations.
• Experience with semi-structured data formats, particularly JSON and XML.
• Knowledge of data governance and data quality principles.
• Strong analytical and independent work capability.
• Excellent communication for presenting findings to technical and non-technical audiences.
• Master's degree in CS/DS/SE or related field or equivalent experience.

Responsibilities

• Lead development and delivery of high-quality data products.
• Design scalable data models in collaboration with stakeholders.
• Extract, transform, and validate data from JSON and XML feeds.
• Deliver clean datasets and data pipelines for analytics and ML.
• Define KPI frameworks, reporting standards, and data governance.
• Collaborate with data engineering to enhance data product design.
• Create dashboards and Power BI reports for decision making.
• Evaluate data flows and suggest optimization improvements.
• Implement data validation, monitoring, and error handling.
• Maintain data dictionaries and lineage artefacts.

Skills

Data analytics

Data engineering

SQL

Data modelling

Problem solving

Communication

Education

Master's degree in Computer Science, Data Science, Software Engineering, or related field

Tools

Azure Data Lake

Azure Synapse Analytics

Databricks

JSON

XML

Job description

Jobgether, on behalf of a partner company, seeks a Senior Analytics Engineer in Switzerland to build a world-class data platform supporting a global mining operation. You will bridge data engineering and BI to turn complex data into actionable insights for international stakeholders.

You will design scalable data products, model data, and establish governance and KPI frameworks. The role involves collaborating with data engineers, analytics architects, and senior leaders to deliver dashboards