Data Analytics Engineer

hace 5 meses

Madrid, España Ebury A tiempo completo

Ebury is a hyper-growth FinTech firm, named in 2021 as one of the top FinTechs to work for by Glassdoor and AltFi. We offer a range of products including FX risk management, trade finance, currency accounts, international payments and API integration.

**Analytics Engineer - Analytics Engineering**

**Hybrid: 4 days in the office, 1 day working from home**

**Location: Madrid**

**Ebury is a FinTech success story**, **positioned among the fastest-growing international companies in its sector**. Headquartered in London, we have more than 1,000 staff covering over 50 nationalities (and counting) working across more than 27 offices worldwide and serving more than 45,000 clients every day.

**About our team**:
Ebury's strategic growth plan would not be possible without our **Data team** and we are seeking a **Analytics Engineer **to join our **Analytics Engineering team**

Our datamission is to develop and maintain **Ebury's Data Platform** and serve it to the whole company, where Data Scientists, Data Engineers, Analytics Engineers and Data Analysts work collaboratively to:

- Build ETLs and data pipelines to serve data in our platform
- Provide clean, transformed data ready for analysis and used by our BI tool
- Develop department and project-specific data models and serve these to teams across the company to drive decision-making
- Automate end solutions so we can all spend time on high-value analysis rather than running data extracts
- Collaborate with stakeholders to understand the requirements, advising on and influencing the solutions, and taking ownership of data implementation and delivery

**About our technology and Data stack**:

- Google Cloud Platform as our main Cloud provider
- Apache Airflow and dbt Cloud as orchestration tools
- Docker as PaaS to deliver software in containers
- Cloud Build as CICD
- dbt as data modelling and warehousing
- Looker and Looker Studio as Business Intelligence/dashboarding
- Github as code management tool
- Jira as project management tool
- Among others third-party tools such as: Hevodata, Synq...

**About the role**:
As an Analytics Engineer, you will be an integral part of our data team. You will work closely with the rest of the team to help model and maintain the Data Platform.

This role also encompasses important responsibilities in quality assurance, data governance, and promoting best practices to ensure that data-related processes are efficient, secure, and adhere to industry standards.

**As part of the team you will**
- Gather requirements from the business and define an action plan to execute them.
- Work on projects end to end, from definition to delivery.
- Serve hands-on delivery of data models using solid software engineering practices (eg. version control, testing, CI/CD)
- Collaborate with team members to reinforce best practices across the platform, encouraging a shared commitment to quality.
- Manage overall pipeline orchestration using Airflow (hosted in Cloud Composer), as well as execution using GCP hosted services such as Container Registry, Artifact Registry, Cloud Run, Cloud Functions, and GKE.
- Design, develop, deploy and maintain ELT/ETL data pipelines from a variety of data sources (transactional databases, REST APIs, file-based endpoints).
- Identify opportunities to optimise and refine existing processes.

**What we're looking for**
- 2+ years of data/analytics engineering experience building, maintaining & optimising data pipelines & ETL processes on big data environments
- Proficiency in Python and SQL
- Experience with our modern data stack tools (a plus) We use dbt, Google Cloud Platform (BigQuery, DataStudio), Looker
- Familiarity with dimensional modelling/data warehousing concepts
- Experience with software engineering practices in data
- Attention to detail and commitment to data quality
- Fluency in English (Spanish, a plus)

**What Ebury offers you**
- Competitive salary conditions
- Support to progress your career in the Data & Analytics world
- Work in a collaborative environment and contribute to a new data infrastructure built on a modern data stack
- Flexible workplace environment & hours
- 23 days of annual leave and all the Madrid public holidays to use when you please
- Enjoy your birthday on your terms with our birthday leave benefit.
- Unlock access to Gympass
- Monthly team-building events
- Attend conferences and training sessions
- Access to wellbeing and mental health support sessions

LI-GC2

**About Us**

**Ebury is a FinTech success story, positioned among the fastest-growing international companies in its sector.**

Founded in 2009, we are headquartered in London and have more than 1300 staff with a presence in more than 20 countries worldwide. Cultural diversity is part of what makes Ebury a special place to be. From Sao Paulo to Dubai, Bucharest to Toronto, we enjoy sharing team experiences and celebrating success across the Ebury family.

Hard work pays off: in 2019, Ebury received a £350 million inv

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