Senior Data Engineering Lead

hace 12 horas


Barcelona, Barcelona, España Dow Jones A tiempo completo

We are seeking a highly skilled Senior Data Engineering Lead to join our team at Dow Jones. With a strong background in designing, developing, and maintaining database architecture and code initiatives, you will play a pivotal role in delivering high-quality, performant, and compliant data solutions that meet the business's current and long-term needs.

About OPIS

OPIS is one of the world's most comprehensive sources for petroleum pricing and news information. We provide real-time and historical spot, wholesale/rack and retail fuel prices for the refined products, renewable fuels and natural gas and gas liquids (LPG) industries. Our award-winning news, market intelligence and transparency deliver value to the entire refined energy marketplace and companies looking to go carbon neutral.

As a Senior Data Engineering Lead, you will lead efforts in Data Governance, focusing on data ingestion into Snowflake, master and reference data management, and data quality automation for our price reporting teams. You will deploy, administer, and enhance data models for metadata and master data systems, collaborating closely with product teams to deliver timely, effective, high-performance solutions.

Your Responsibilities
  • Design scalable data architectures and automated pipelines for efficient data ingestion and quality assurance
  • Deploy, administer, and enhance data models for metadata and master data systems
  • Collaborate with product teams to deliver timely, effective, high-performance solutions
  • Lead efforts in Data Governance, focusing on data ingestion into Snowflake, master and reference data management, and data quality automation
Required Skills and Qualifications
  • Minimum of 4 years database developer experience (SQL Server or equivalent)
  • Ability to design and create advanced data models for the integration of multiple data sets and systems
  • Working knowledge of cloud data technologies and architecture
  • Proficiency in BI tooling, Power BI preferred
  • Deep knowledge of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes
Benefits
  • Pension Scheme: Company contributes up to 8% of your salary with matching contributions
  • Healthcare Coverage: Comprehensive health plan with unlimited coverage, including outpatient care, dental, and maternity
  • Life Disability Insurance: Coverage from day one, including life insurance at 2X salary and accident coverage up to 4X salary
  • Wellness Programs: Access to wellness platforms, mindfulness apps, and free fitness classes

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