Senior Analytics Engineer – AI / BI Spain - Remote

Overview As a Senior BI Engineer, you architect next-generation business intelligence solutions that combine traditional analytics with AI-powered insights to drive autonomous decision-making across the organization. You lead the transformation toward intelligent, self-service analytics platforms while leveraging generative AI, machine learning, and automated data discovery tools to deliver predictive and prescriptive business insights. This role requires expertise in both traditional BI foundations and emerging AI-assisted analytics technologies.

Responsibilities Design and maintain intelligent dashboards, automated reports, and self-service analytics platforms using Looker (LookML), Power BI, and emerging AI-native BI tools.

Build and optimize real-time data models, ETL / ELT pipelines, and streaming analytics architectures to support scalable reporting and analytics.

Implement automated data quality monitoring, anomaly detection, and intelligent alerting systems to ensure reliable insights.

Integrate large language models (LLMs) and generative AI tools to enable natural language querying and automated insight generation.

Develop predictive models, recommendation engines, and forecasting systems embedded within BI workflows.

Leverage AI coding assistants (e.g., GitHub Copilot, Cursor) for rapid development, automated testing, and intelligent code optimization.

Apply core programming principles to build scalable, maintainable analytics solutions, including modular code design and version-controlled development workflows.

Collaborate with cross-functional teams to identify opportunities for AI-enhanced decision-making and autonomous business processes.

Lead the transition from static reporting to dynamic, AI-driven analytics while mentoring junior engineers in modern BI and AI methodologies.

Adapt quickly to changing business needs, priorities, and technologies.

Qualifications Minimum Qualifications

3+ years of experience in BI development, including integration of AI / ML tools into analytics workflows.

Advanced SQL proficiency and hands-on experience with modern data platforms (e.g., Databricks, Amazon Redshift, Amazon S3, Cloud-based Data Lakes).

Proficiency with BI tools like Looker and Power BI, including AI-enhanced features such as PBI Smart visuals and ML integration.

Hands-on experience with the modern data stack and orchestration tools (e.g., dbt, Airflow, Prefect), including reverse ETL, data mesh architectures, and real-time personalization.

Experience building and optimizing scalable analytics solutions for high-volume data processing in integrated cloud environments.

Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow) and deployment tools (e.g., MLflow).

Hands-on experience with generative AI tools and prompt engineering, applied to code generation, data analysis, and automated insight discovery within AI-assisted development workflows.

Hands-on experience with cloud-native data and AI services (e.g., AWS Bedrock, Databricks AI / Genie), with the ability to communicate insights effectively to non-technical stakeholders.

Preferred Qualifications

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related quantitative field.

Experience in data-intensive industries (e.g., retail, e-commerce, SaaS, fintech), especially with AI transformation initiatives.

Hands-on experience with AI-native BI tools and frameworks supporting conversational analytics and autonomous reporting.

Experience with semantic modeling, knowledge graphs, and AI-powered data catalog systems.

Proficiency in one or more programming languages (e.g., Python, R, Scala) for advanced analytics, including statistical modeling, experimentation frameworks, and causal inference techniques.

Experience building data or analytics products from the ground up (0→1) is a strong plus.

Knowledge of emerging technologies such as vector databases, retrieval-augmented generation (RAG), and multi-modal analytics.

Understanding of responsible AI practices, including model monitoring and governance in analytics and reporting contexts.

Travel Required Up to 10%

Other Duties Note : This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds. As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will :

Partner with the leading brands and retailers.

Connect with passionate professionals who will help support your goals.

Participate in an inclusive, welcoming work atmosphere.

Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.

Receive industry-competitive compensation and total rewards benefits.

Medical, Dental and Psychology benefits

Life insurance and disability benefits

Competitive time off package with 25 Days of PTO, 13 Company-Paid Holidays, 2 Wellness days and 1 Paid Volunteer Day

Voucher program for Transportation, Meals & Childcare

Work from the Madrid co-working space, if desired

Remote Working Stipend : €40 / month automatically applied in payroll

Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program

Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career.

Charitable contribution match per team member

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We are committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we\'re here to ensure a seamless experience as you explore opportunities with our team.

Spain Equality Plan - Gender : In alignment with the Spanish Government's efforts to foster gender equality through the implementation of Gender Equality Plans, Rithum is committed to promoting equal treatment and opportunities for all genders. To this end, we have developed and actively uphold our Gender Equality Plan, which includes monitoring the gender distribution among our job applicants. Our goal is not just to comply with regulations but use any actionable insights to help inform our hiring strategies.

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