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LyRise
Actively Hiring
Building faster, vetted, remote AI and Data teams

Senior Data Engineer - Spanish Speaker

  • €25k – €37k • No equity
  • Remote • 
  • 4 years of exp
  • Full Time
Posted: 1 week ago• Recruiter recently active
Visa Sponsorship

Not Available

Remote Work Policy

Remote only

Hires remotely
Everywhere
RelocationNot Allowed
Skills
Data Analysis
SQL
Cloud Computing
Google Analytics
Microsoft SQL Server
AWS Cloud Services
Microsoft PowerPoint
Microsoft Azure
Data Management
AWS
Microsoft Power BI
Pyspark
Apache/Spark/Databricks
AWS Lambda
databricks
Azure Databricks

About the job

The Analytics Engineer will be responsible for developing and maintaining scalable data models, building ETL processes, and creating dashboards/reports that drive business insights.

This role involves working closely with data engineers and scientists, ensuring high-quality data is available for analysis, and collaborating with stakeholders to deliver actionable solutions.

Responsibilities:

  1. Develop and maintain data models and ETL processes using PySpark and Databricks for scalable solutions.
  2. Create dashboards and reports utilizing Power BI for building visual reports with actionable insights.
  3. Collaborate with data engineers and scientists to ensure data is available and accurate.
  4. Write complex SQL queries for transforming data into business-ready formats.
  5. Improve performance for data pipelines and reporting tools.
  6. Understand business challenges and provide data-driven solutions.
  7. Ensure compliance with data security and governance policies.

Qualifications:

  1. Mid-level: 2+ years in data analytics or engineering or Senior-level: 4+ years of relevant experience.
  2. Proficiency with Databricks, PySpark, and Power BI.
  3. Strong SQL skills.
  4. Familiarity with cloud platforms (AWS, Azure, or Google Cloud).
  5. Expertise in data transformation and pipeline optimization.
  6. Strong problem-solving and communication skills.
  7. Bachelor’s degree in Data Science, Computer Science, or a related field.

Benefits

  1. Learn and grow by working with some of the best in the business
  2. Opportunity to work on cutting-edge AI technologies in a collaborative, innovative environment
  3. Flexible remote work options and a supportive team culture
  4. Competitive salary and benefits package
  5. Professional growth and development opportunities in the fast-evolving field of AI

About the company

LyRise company logo

LyRise

Actively Hiring
Building faster, vetted, remote AI and Data teams51-200 Employees
Company Size
51-200
Company Type
Information Technology
Learn more about LyRise image

Funding

AMOUNT RAISED
$400K
FUNDED OVER
1 round
Round
PRE
$400,000
Pre-Seed - Jan 2023