Our client is a globally recognized leader in delivering trusted financial news, data, and analysis to professionals and organizations worldwide, empowering them to make informed decisions. They are seeking a Lead Data Engineer in Barcelona, to be part of their Data Science & Analytics team, which specializes in developing and implementing cutting-edge AI, ML, and data science solutions.
Tasks
- Design and develop robust database and machine learning (ML) architectures to manage and process large data volumes effectively and operationalize complex ML models
- Develop and optimize automated data pipelines using SQL and Python, ensuring seamless integration of data from diverse sources
- Create and maintain back-end integrations between BI tools and data sources to enhance reporting and analytics capabilities, code using AWS and CI/CD pipelines, and support AI, ML, and analytics solutions
- Lead and contribute to an Agile team environment, mentoring and training team members to foster professional growth and collaboration
Requirements
- Full professional level of English
- Degree in computer science, a related technical field, or equivalent professional experience
- 4+ years of hands-on experience in data management technologies such as Microsoft SQL Server, Postgres, and Snowflake
- Proficiency in advanced SQL coding and data modeling for system integration and optimization
- Experience developing with Python or PySpark for ML processing, data analysis, and automation
- Skilled in creating visualizations and dashboards using BI tools like Power BI, Tableau, or Looker
- Strong ability to write SQL queries to investigate source data and troubleshoot data-related issues
- Working knowledge of: cloud data technologies and architecture; Big Data tools and technologies, such as Spark, and AWS EMR; building CI/CD pipelines for code deployment
- A critical thinker, with a natural curiosity for learning, and a passion for solving complex problems
- A highly analytical and organized individual who excels at managing competing priorities independently
- A team player with excellent communication and interpersonal skills, combined with strong time management and structured development practices
Benefits
- Competitive salary
- Hybrid working model
- Restaurant ticket
- Pension Scheme
- Healthcare Coverage and Life & Disability Insurance
- Teleworking allowance
- Access to wellness platforms, mindfulness apps, and free fitness classes
- Family Care Support
- Referral Bonus
- Step 1: Meet our Recruiter to get to know you better
- Step 2: Screening with the HR team
- Step 3: Technical assessment (HackerRank)
- Step 4: Panel interview with the Hiring Manager and team members
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