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обновлено 7 дней назад

Senior Analytics Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Analytics Engineer (SQL/dbt/BigQuery): Building scalable, analytics-ready data models and product marts from raw data with an accent on data quality, documentation, and stakeholder-focused analytics. Focus on designing performant warehouse solutions, debugging orchestration pipelines, supporting AI integration, and improving the reliability and usability of business datasets.

Location: London, United Kingdom; site-based role requiring employees to work at least 3 days (60%+) per week from a hirify.global office or work location.

Company

hirify.global delivers communication connectivity for consumers, businesses, governments, and militaries worldwide.

What you will do

  • Develop high-quality data models that transform raw data into clean, analytics-ready datasets using SQL, Python, dbt, BigQuery, and Prefect.
  • Translate business and analytical requirements into scalable product marts in collaboration with the Data Product Owner and product stakeholders.
  • Build performant datasets for dashboards, reporting, and analysis.
  • Design scalable data solutions that support AI integration and evolving business needs.
  • Debug pipelines, validate outputs, resolve data issues, and collaborate with source system teams.
  • Document data logic, maintain quality checks and version control, and prioritise work based on business impact.

Requirements

  • Advanced SQL skills and experience with modern data warehouses, particularly GCP BigQuery.
  • Hands-on experience with dbt or similar data transformation tools.
  • Strong data modelling knowledge, including star schema design and scalable data assets for BI and user-facing tools.
  • Experience with Prefect, Airflow, or similar orchestration tools, plus Python for data orchestration.
  • Knowledge of software development lifecycle practices, data quality frameworks, observability, and GitHub-based source control.
  • Clear communication with technical and non-technical stakeholders and experience working in Agile environments.

Nice to have

  • Curious, structured problem-solving approach with strong ownership and accountability.
  • Passion for clean, efficient, and well-documented data solutions.
  • Willingness to share knowledge in dbt, SQL, and data modelling best practices.
  • Growth mindset and comfort embracing change.

Culture & Benefits

  • Inclusive and welcoming environment focused on positive impact.
  • Agile delivery with iterative development, feedback, and continuous improvement.
  • Equal opportunity employment and consideration for workplace accommodations.

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