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Senior Software Engineer

Kodify

Madrid

Presencial

EUR 45.000 - 70.000

Jornada completa

Hace 30+ días

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Descripción de la vacante

A leading company in the data analytics field is seeking a Senior Analytics Engineer to bridge the gap between Data Engineering and Reporting. In this role, you will manage the dbt environment, optimize data models, and support data science initiatives. This position offers competitive compensation and numerous employee perks tailored for growth and wellbeing.

Servicios

Competitive compensation, including Restricted Stock Units
Employee Stock Purchase Plan (ESPP)
Wellbeing Programs (Mental Health, Wellness, Yoga / Pilates / HIIT Classes)
Competitive time off including Digital Disconnect Days

Formación

  • 5+ years of experience in an Analytics role.
  • Ability to communicate with internal stakeholders in a timely manner.
  • Experience with Elementary or Great Expectations is preferred.

Responsabilidades

  • Own and manage the full dbt environment.
  • Productionalize complex logic into 'gold standard' datasets.
  • Support company-wide data science initiatives.

Conocimientos

SQL
dbt
Python
Git
CI/CD deployments
BI Tools

Educación

Bachelor Degree in Economics, Mathematics, or Computer Science

Herramientas

BigQuery
GCP
AWS
Airflow
Flink
Apache Beam

Descripción del empleo

We, at Flywire, are seeking a Senior Analytics Engineer to join our Analytics team and further scale our data driven company.

As a Senior Analytics Engineer, you will bridge the gap between Data Engineering and Reporting to enable our end users to make the most of our data. You will handle data from all areas of the company and succeed through the following responsibilities :

  • Own, manage, and further our full dbt environment and related tooling
  • Manage efficient materializations of streaming data to balance efficiency and latency
  • Explore and implement additional tools to support the wider Analytics team
  • Productionalize complex logic and queries into “gold standard” datasets
  • Provide dbt support throughout the company
  • Optimize dbt models for efficiency, clarity, and scalability
  • Remove and reduce technical debt and automate manual operations
  • Treat data as a product and enforce testing and CI to catch errors early
  • Work with and support company-wide data science / AI initiatives
  • Become a subject matter expert to support all business segments
  • Work with engineering and product teams to understand and model our event data
  • Drive change by identifying areas for improvement while analyzing data

Here’s What We’re Looking For :

  • Bachelor Degree in Economics, Mathematics, or Computer Science
  • 5+ years of experience in an Analytics role
  • Strong proficiency in SQL
  • Strong proficiency with dbt
  • Experience with a cloud data warehouse (BigQuery, Snowflake, Redshift)
  • Experience with git and CI / CD deployments
  • Experience with Python and Docker
  • Experience with Elementary or Great Expectations is preferred
  • Ability to communicate and follow up with internal stakeholders in a timely manner and excellent attention to detail.
  • Experience with BI Tools (Looker or Preset) is a plus

Technologies We Use :

  • GCP / AWS
  • BigQuery
  • Airflow (GCP Composer)
  • Flink and Apache Beam

What We Offer :

  • Competitive compensation, including Restricted Stock Units
  • Employee Stock Purchase Plan (ESPP)
  • Flying Start - Our immersive Global Induction Program (Meet our Execs & Global Teams)
  • Work with brilliant people that will keep you on your toes, learn more about their journeys by checking out #InsideFlywire on social media
  • Dynamic & Global Team (we have been collaborating virtually for years!)
  • Wellbeing Programs (Mental Health, Wellness, Yoga / Pilates / HIIT Classes) with Global FlyMates
  • Be a meaningful part in our success - every FlyMate makes an impact
  • Competitive time off including FlyBetter Days to volunteer in a cause you believe in and Digital Disconnect Days!
  • Great Talent & Development Programs (Managers Taking Flight – for new or aspiring managers!)

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