Назад
14 часов назад

Senior Analytics Engineer (dbt)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
senior
Английский
b2
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Описание вакансии

TL;DR
Senior Analytics Engineer (dbt/SQL): Building and maintaining scalable data transformation models and reliable data products with an accent on ELT, semantic layer modeling, and data quality. Focus on optimizing OLTP and OLAP queries, integrating BI and reverse-ETL workflows, and establishing CI/CD, testing, monitoring, and change-management standards.

Senior Analytics Engineer

Company

Alpaca

Conditions

2 days ago Senior Europe Remote Data Science Jobs by Alpaca

Alpaca Alpaca provides developer APIs for stock, options, and crypto trading, enabling businesses and developers to build trading applications and automate investment strategies. Series DRecently funded 10 current maintainers 9 active leads 7 new active leads 2 lead step-downs 1 early lead departureTeam intelligence Maintainer signals as of 8/12/2026 20 North San Mateo Drive, San Mateo, California, United States Funding history Unknown ($135M) Series D ($150M) Series D ($150M) Investors Portage Ventures 850 Management Derayah Unbound National Investments Company Projects A Alpaca Alpaca Trading API Developer Tooling B Broker API Developer Tooling M Market Data API Pricing Data API Instant Tokenization Network RWA Tokenisation Platform About Alpaca Alpaca helps developers and businesses access financial markets through API-first infrastructure for stock, options, and cryptocurrency trading. Users can build algorithmic trading strategies, create investing applications, and integrate brokerage services into their platforms. View jobs by Alpaca

Skills

Analytics Engineering Aws Ci/Cd Data Engineering Data Modeling Data Quality Dbt Elt Gcp Git Iceberg Postgres Python Query Optimization Semantic Layer Sql Trino

Candidate Availability

Remote · Europe · Required Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own the data transformation layer and build scalable data models using dbt, SQL, Trino, and GCP-based infrastructure. You will establish modeling, testing, monitoring, and change-management standards; work with stakeholders on requirements; and integrate data models with BI and reverse-ETL processes.

Requirements

  • 4+ years of analytics engineering or data engineering experience focused on ELT transformation
  • Experience owning data products end-to-end
  • Expert SQL and dbt skills
  • Python proficiency
  • Experience optimizing OLTP and OLAP queries
  • Proficiency with semantic layer modeling
  • Experience owning CI/CD workflows, version control, and code-review standards
  • Familiarity with GCP or AWS

Responsibilities

  • Design, build, and maintain scalable data models using dbt and SQL
  • Establish data modeling, development, testing, and monitoring standards
  • Collaborate with business stakeholders to deliver reliable data products
  • Integrate data models with BI tools and reverse ETL processes
  • Manage source control, code reviews, change management, and data monitoring
  • Improve data warehouse performance and ETL efficiency

Benefits

  • Stock options
  • Health benefits
  • One-time USD $500 new-hire home-office setup
  • USD $150 monthly stipend via a Brex Card

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