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Lead Data Engineer

Lead Data Engineer

Dow Jonescomunidad valenciana, España
Hace 13 días
Descripción del trabajo

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.

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