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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