BI & Analytics Engineer

Comunidad de Madrid
Madrid, Spain
25 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis Business Logic Big Data Information Engineering Data Governance Extract Transform Load (ETL) Dimensional Modeling Python (Programming Language) MySQL Operational Data Store Power BI
+7 more
DataOps Data Processing Sql Optimization Operational Systems Data Management Machine Learning Operations Data Pipelines

Job description

At Finonic, we’re scaling rapidly and investing heavily in our data and analytics infrastructure. We operate across multiple European entities and rely heavily on real-time operational data to support decision-making, reporting, automation, and future AI-driven initiatives. We are now looking for a Senior BI / Analytics Engineer who can help us evolve our current reporting architecture into a scalable and maintainable analytics platform. This role sits between operational systems, data engineering, and business intelligence. You’ll work closely with BI, Development, and operational stakeholders to improve reporting performance, centralize business logic, and build scalable data models that support long-term growth. We’re looking for someone who enjoys architecture, scalability, optimization, automation, and solving complex data challenges properly

What You’ll Do

Design and maintain scalable ETL / ELT pipelines

Transform operational MySQL data into analytics-ready datasets

Build and optimize Power BI semantic models and reporting layers

Improve BI scalability, maintainability, and refresh performance

Centralize business logic outside Power BI datasets where possible

Implement data engineering best practices around governance and monitoring

Collaborate closely with BI, Development, and operational teams

Improve data quality, trust, and reporting consistency

Support automation and future AI / ML initiatives

Requirements

Senior-level experience (5+ years preferred) in BI, Analytics Engineering, or Data Engineering

Advanced SQL skills (MySQL preferred)

Strong Power BI expertise and semantic modelling experience

Strong understanding of dimensional modelling and scalable analytics structures

Python experience for automation, data processing, or ML integration

Strong analytical and problem-solving mindset

Ability to communicate with both technical and non-technical stakeholders

Ownership mentality and proactive approach to improvement

Nice to Have

Experience with analytics platform modernization projects

Experience optimizing Power BI performance and refresh architecture

Experience with orchestration, monitoring, and data governance

Exposure to AI / ML workflows or predictive analytics

Experience within fast-growing digital businesses or scale-ups

Understanding of operational reporting environments with large datasets

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.jobleads.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · WWC 2022

2:18 min

Scaling MySQL databases for massive user growth

Johannes Nicolai Johannes Nicolai +1 · LIVE

1:42 min

Combining technical skills with strong business communication

Lukas Kölbl · LIVE

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

See all

Related articles

See all