Deloitte
Deloitte
Deloitte is a global professional services firm operating across consulting, financial advisory, and technology, media and telecommunications. Its work includes audit, tax, advisory, and consulting services that help organizations address complex business challenges, transform operations, and make informed decisions. Deloitte’s company profile also highlights innovation, sustainable practices, inclusion, diversity, and collaboration as important parts of its working environment.

Analytics Engineer, Advanced Analytics (Hybrid - Madrid)

Design data pipelines, models, and visualizations for Deloitte, turning complex information into artificial intelligence solutions and strategic decisions for clients.

Description

  • Co-create data products with business teams to support strategic decision-making
  • Build reliable, scalable, and efficient data pipelines from internal and external sources
  • Monitor pipeline quality and performance
  • Design data models aligned with analytical needs and business objectives
  • Develop deep knowledge of datasets and take ownership of their quality
  • Develop and optimize processes for deploying reliable, scalable models into production
  • Enable monitoring of output performance and quality
  • Implement intuitive visualization solutions that improve data understanding and decision-making
  • Stay current with industry practices and promote strong development and continuous integration standards
  • Work directly with clients to understand their challenges and translate their needs into data solutions

Requirements

  • Bachelor’s degree in Engineering, Mathematics, Physics, or a related field
  • C1-level English proficiency, spoken and written
  • Experience with ETL, SQL, and Python data processes across on-premises, cloud, and big data environments
  • Knowledge of dbt, Spark, BigQuery, Snowflake, and Databricks
  • Understanding of data storage formats and systems, including files, relational, columnar, document, and key-value stores
  • Knowledge of machine learning and its lifecycle, including MLOps
  • Ability to understand data models and produce reports for teams and clients
  • Experience creating data visualizations with BI tools such as Tableau or Power BI, or through web development
  • Adaptable, communicative, client-focused, proactive, and collaborative approach
  • Ability to analyze and synthesize complex information

Benefits

  • Flexible working hours with a balance between remote work and work in offices or client locations
  • Several team-building events each year
  • Cultural and sporting activities
  • Physical, mental, and financial well-being program
  • Medical team available at the offices
  • National and international volunteering opportunities
  • Pro bono projects
  • Feedback-driven culture with continuous learning
  • Personalized training plan
  • Exclusive benefits and a comprehensive flexible compensation package
  • Certification preparation
  • Mentoring and support programs such as DE Academy

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