Staff Analytics Engineer

🔥 18 hours ago

🇪🇺 Europe – Remote

⏰ Full Time

🔴 Lead

📊 Analytics Engineer

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Alpaca

WebsiteLinkedInAll Job Openings

201 - 500 employees

🔌 API

💳 Fintech

₿ Crypto

API • Fintech • Crypto

Alpaca is a fintech company that provides a comprehensive brokerage and trading platform through a suite of APIs. These APIs enable developers and businesses to integrate algorithmic trading, app development, and embedded investing into their services. Alpaca offers services like trading in US stocks, ETFs, and cryptocurrency with options for local currency transactions. The company is recognized for its cyber security practices and is a member of FINRA and SIPC. Alpaca is ideal for fintech startups, broker-dealers, hedge funds, and other financial services looking to build sophisticated trading applications and platforms with minimal friction through their well-documented Broker API.

📋 Description

• Design, build, and maintain scalable data models using dbt and SQL for financial reporting and operational metrics. • Establish and enforce best practices for data modelling, development, testing, and monitoring. • Collaborate with finance, operations, customer success, and marketing teams to understand requirements and deliver reliable data products. • Create repeatable patterns for integrating data models with BI tools and reverse ETL processes. • Champion change management, source control, code reviews, and data monitoring as products and data evolve. • Own and execute the vision for the data transformation layer on the company’s data platform. • Work closely with Data Engineers, Data Scientists, and Business Users.

🎯 Requirements

• 4+ years of experience in analytics engineering or data engineering with a strong focus on the "T" (transformation) in ELT. • Proven track record of owning data products end-to-end, applying analytics and data engineering best practices to ensure data quality, scalability, and robust data models. • Comfortable working with ambiguity and collaborating with stakeholders to define requirements; able to take ownership with minimal oversight in a fast-paced environment. • Experience proactively identifying and implementing improvements to data warehouse performance and ETL efficiency. • Expert-level SQL and dbt skills for complex queries and data transformations. • Proficiency in Python for transformations that extend beyond SQL. • Hands-on experience with query optimization across OLTP and OLAP systems (e.g., Postgres, Iceberg). • Proficiency with Semantic Layer modelling (e.g. Cube, dbt Semantic Layer). • Experience owning CI/CD workflows and establishing team-wide standards for version control and code review (e.g., Git). • Familiarity with cloud environments (GCP or AWS). • Experience with data ingestion tools (e.g., Airbyte) and orchestration tools (e.g., Airflow) is nice to have. • Domain experience for brokerage operations or a passion for financial markets and modelling financial datasets is nice to have.

🏖️ Benefits

• Competitive Salary & Stock Options • Health Benefits • New Hire Home-Office Setup: One-time USD $500 • Monthly Stipend: USD $150 per month via a Brex Card