Senior Analytics Engineer

Nix; Spain; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Flexible working format: remote or on‑

Competitive salary

Career growth and mentorship

Education reimbursement

Tech talks and trainings

Job summary

Nix is seeking an Analytics Engineer to join a global Data & Analytics team. You will design and publish clean data products powering dashboards, predictive models, and KPI frameworks across the organization.

Responsibilities include building robust data models, transforming diverse data sources, and delivering validated datasets for analysis and ML consumption. Strong collaboration with stakeholders and data engineers is required.

Qualifications

• 8+ years in data analytics, data engineering, or related software field.
• Strong SQL for data extraction and manipulation; deep data modelling and indexing knowledge.
• Hands-on Azure cloud services experience for data storage and processing (ADL, Synapse).
• Proficiency with Databricks for data product building and large-scale transformations.
• Experience with semi-structured data formats (JSON, XML).
• Knowledge of data governance and data quality practices; security awareness.

Responsibilities

• Design and build data products across ingestion, transformation, and serving stages.
• Develop robust data models with collaboration across users, data engineers, and analytics architects.
• Extract, transform, and validate data from diverse sources (JSON, XML).
• Deliver clean, tested datasets and data pipelines for analysis and ML use.
• Partner with stakeholders to define KPI frameworks, standards, and governance practices.
• Collaborate with data engineers to enhance product design and data integration for models.
• Create and maintain PowerBI dashboards and reporting solutions.

Skills

SQL proficiency

Data modelling

Analytical problem-solving

Effective communication

Education

Master's degree in CS/DS/SE

Tools

Azure Data Lake

Azure Synapse

Databricks

PowerBI

Job description

You will join a global Data & Analytics team serving one of the world's top 10 copper producers, operating across Africa, Europe, the Middle East, Australia, and the Americas. The team is on a mission to build a world-class data platform that turns raw operational data into strategic insight - enabling leadership to make faster, smarter decisions at every level of the business.

As an Analytics Engineer you will sit at the intersection of data engineering and business intelligence - modelling, transforming, and publishing clean, tested, and reusable datasets that power dashboards, predictive models, and KPI frameworks across the organisation.

Responsibilities:

• Design and build data products across the full data lifecycle - from ingestion through transformation to serving.
• Develop robust, well-documented data models in close collaboration with business users, data engineers, and analytics architects.
• Extract, transform, and validate data from diverse sources including JSON & XML feeds, leveraging strong metadata management practices.
• Deliver clean, tested, code-reviewed datasets and data pipelines ready for analysis and machine-learning consumption.
• Partner with senior stakeholders to define KPI frameworks, reporting standards, and data governance best practices.
• Collaborate with data engineers to enrich product design and integrate data for predictive models.
• Create and maintain dashboards and reporting solutions using PowerBI to enable data-driven decision-making.
• Evaluate and recommend improvements to data flows, influencing platform architects and engineers.
• Implement data validation, monitoring, and error-handling processes to ensure data quality and accuracy.
• Maintain high-quality documentation including data dictionaries and lineage artefacts.

Requirements:

• 8+ years of experience in data analytics, data engineering, or a closely related software engineering discipline.
• Strong SQL skills for data extraction and manipulation; deep expertise in data modelling and indexing strategies.
• Solid hands-on experience with Azure cloud services for data storage and processing (Azure Data Lake, Azure Synapse Analytics, or equivalent).
• Proficiency in Databricks for data product building and large-scale data transformation.
• Experience transforming and working with semi-structured data formats (JSON, XML).
• Solid understanding of data governance, data quality principles, and security best practices.
• Strong analytical and problem-solving skills with an ability to work independently in a fast-paced environment.
• Excellent communication skills – able to present findings and data insights to both technical and non-technical audiences.
• Master's degree in Computer Science, Data Science, Software Engineering, or a related field (or equivalent professional experience).

Nice to have:

• Experience with alternate cloud providers (AWS, GCP) in addition to Azure.
• Background in mining, commodities, or heavy industry operational data.
• Proficiency in additional languages beyond English

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers