HQ - Senior Analytics Engineer

1 month, 1 week ago
Full-time
Senior
Data Science and Analytics
Jobandtalent

Jobandtalent

Jobandtalent is a world-leading job marketplace that connects workers with companies through its innovative app. With a focus on workforce optimization, the platform offers thousands of flexible jobs and cutting-edge technology to streamline the hiring...

Professional Services
1K-5K
Founded 2009
$1300M raised

Description

  • Model raw data into clean, tested, and reusable datasets using dbt.
  • Transform data through cleansing, flattening, aggregation, and other processes to support reporting and analysis.
  • Write performant, well-formatted, and maintainable SQL following consistent naming and development conventions.
  • Document data definitions and transformation stages so stakeholders can easily understand and find answers.
  • Define and run data quality checks and testing processes to ensure data accuracy for operational and analytics use cases.
  • Apply analytics engineering best practices in version control, testing, and deployment, especially within dbt.
  • Build dashboards, charts, and reports using BI tools.
  • Collaborate closely with data engineers, business analysts, and business teams to align data assets with business requirements.
  • Work with full-stack engineers, data scientists, and data analysts across the wider data organization.
  • Contribute to data analysis and dashboarding based on user requirements.

Requirements

  • 4+ years of experience in data transformation and modeling.
  • Commercial experience with Kimball/Dimensional or Data Vault methodologies is highly desirable.
  • Experience with cloud data warehouses such as Snowflake, Redshift, BigQuery, or similar.
  • 1+ years of experience working with dbt.
  • Experience building reporting layers for BI tools and dashboarding.
  • Excellent verbal and written communication skills, with the ability to communicate across management, business, and technical audiences.
  • Fluent English is required.
  • Experience in refactoring and/or data warehouse migration projects is desirable.
  • Experience with SQL performance tuning is desirable.
  • Experience with data catalog, quality, lineage, observability, or metadata projects is desirable.
  • Experience with Python and Airflow is desirable.

Benefits

  • Permanent remote position.
  • Competitive pay.
  • Meaningful benefits.
  • Opportunity to work at a global, AI-powered company with international teams.
  • Opportunity to make an impact at scale across multiple industries.
  • Professional growth through collaboration with strong data and engineering teams.
  • Inclusive, people-focused culture with empathy, honesty, and inclusion.

Interested in this position?

Apply directly on the company website

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