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Senior Data Engineer

Endava

São Paulo

Híbrido

BRL 120.000 - 150.000

Tempo integral

Há 2 dias
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Resumo da oferta

A leading technology company seeks a Senior Data Engineer to join their data team. The role involves developing data pipelines, ensuring data quality, and collaborating with technical leads. Ideal candidates have strong SQL skills and experience with Azure Data Factory and Snowflake. The company promotes a culture of inclusion and offers competitive benefits, including flexible working hours and career development opportunities.

Serviços

Competitive salary package
Company performance bonuses
Career coaching
Flexible working hours
Global internal wellbeing programme

Qualificações

  • 5+ years of experience as a Data Engineer/Data Architect.
  • Proficient in Azure Data Factory for building and managing data pipelines.
  • Advanced English Level is required.

Responsabilidades

  • Develop, construct, and test data pipelines.
  • Work closely with technical leads and PM on data requirements.
  • Identify ways to improve data reliability, efficiency, and quality.

Conhecimentos

SQL
Data Reliability
Data Efficiency
Data Quality
Advanced English

Ferramentas

Snowflake
Azure Data Factory
Power BI
Git
Python
Databricks

Descrição da oferta de emprego

2 days ago Be among the first 25 applicants

Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real-world impact - be part of a global shift by doing work that matters.

Job Description

Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.

Responsibilities:


  • Develop, construct, and test data pipelines.
  • Work closely with technical leads, PM, and reporting team on data requirements.
  • Work/Communicate with source teams on sourcing the data.
  • Identify ways to improve data reliability, efficiency, and quality.

Qualifications

  • 5+ years of experience as a Data Engineer/Data Architect.
  • Strong SQL skills, with hands-on experience in Snowflake.
  • Proficient in Azure Data Factory for building and managing data pipelines.
  • Experience with Power BI for data visualization and reporting.
  • Advanced English Level is required.

Nice to have:


  • Experience with Git and CI/CD tools (e.g., Jenkins).
  • Knowledge of Python (OOP).
  • Familiarity with Databricks.

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:


  • Finance:
    Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
  • Career Development:
    Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
  • Learning Opportunities:
    Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
  • Work-Life Balance:
    Hybrid work and flexible working hours, employee assistance programme;
  • Health:
    Global internal wellbeing programme, access to wellbeing apps;
  • Community:
    Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    IT Services and IT Consulting

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