Operario / Operaria de Almacén - 25 Horas / Semanales

Are you a strong analytical thinker with a problem-solving attitude? Do you want to be part of a fast-growing team? Then, keep reading!

Dow Jones is a globally recognized leader in delivering trusted financial news, data, and analysis to professionals and organizations worldwide, empowering them to make informed decisions. We are seeking a Lead Data Engineer who will design, develop, and maintain database architecture and code initiatives, support internal and third-party software solutions, deliver excellent products in scope and on time, and meet current and long-term business needs for the business area.

Main responsibilities :

• Lead data governance initiatives, focusing on data ingestion into Snowflake, master and reference data management, and data quality automation for price reporting teams
• Deploy, manage, and enhance data models for metadata and master data systems, collaborating closely with product teams to deliver timely, effective, high-performance solutions
• Design and implement scalable data architectures and automated pipelines for seamless data ingestion and quality assurance
• Translate business data requirements into actionable solutions by identifying data needs and sources, and ensuring their alignment with system architecture
• Contribute to product improvement and revenue growth by creating robust data infrastructures that support new and enhanced features
• Guide, mentor, and develop team members, fostering professional growth and team cohesion

Core skills / experience :

• Degree in Computer Science, a related technical field, or equivalent practical experience
• At least 4 years of hands-on experience as a database developer (SQL Server or equivalent)
• Skilled in designing and creating data models to enable seamless integration of multiple data sets and systems
• Capable of writing SQL queries and statements to explore source data and data-related issues
• Familiarity with cloud-based data technologies and architecture
• Experience with Python for data analysis and automation
• Knowledgeable in building CI / CD pipelines for code deployment
• Proficiency in BI tooling, with a preference for Power BI
• Deep knowledge of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes, with expertise in designing, developing, and optimizing pipelines (i.e., Glue, Airflow) for Snowflake
• Experience with Snowflake-specific SQL, including schema design, data modeling, and query optimization to ensure efficient performance
• Knowledge of metadata management, reference data management, master data management and data quality
• A strategic thinker and proactive learner, who excels at managing time and juggling competing demands independently
• A critical problem-solver who thrives in analyzing and resolving technical issues
• A collaborative team player with strong interpersonal and communication abilities

What's on offer?

• 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

Our recruitment process:

• 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