Senior Data Analytics Engineer

Jundiaí, SP, Brazil

Live, first seen by us 30 days ago

Pay: Pay not listed
Work setting: On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment: Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

Design and maintain scalable data pipelines and ETL/ELT processes
Integrate data from enterprise systems, databases, APIs and cloud platforms
Build and maintain Power BI dashboards and reports that meet governance standards
Translate business requirements into data solutions with consistent KPI definitions
Troubleshoot data source, refresh schedule and visualization issues for business users

From the employer’s posting

Design, develop, and maintain scalable data pipelines and ETL/ELT processes.

Integrate data from multiple enterprise systems, databases, APIs, and cloud platforms.

Design, develop, and maintain dashboards and reports using Power BI, ensuring compliance with enterprise standards for governance and scalability.

translate them into data solutions, ensuring consistent KPI definitions.

Troubleshoot issues related to data sources, refresh schedules, and visualization.

What you’ll bring

All qualifications

Core experience

4+ years in BI or analytics roles
Advanced English
Bachelor's degree in computer science, information systems, engineering, business or related field
Experience in virtual project management within remote teams

Preferred experience

Azure preferred

Qualification wording

4+ years in BI or analytics roles.

Required Advanced English (Spanish is a plus).

Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Administration, Data Science/Analytics or related field.

Experience in virtual project management within remote teams.

Experience with data warehousing, ETL processes, and cloud platforms (Azure preferred).

Education & alternatives

- Advanced English (Spanish is a plus). - Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Administration, Data Science/Analytics or related field. - 4+ years in BI or analytics roles.

Apply at Continental

Posting record

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Status in our records: Live
First seen by us: Oct 5, 202630 days ago
Recorded sightings: 295
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 30

Similar jobs usually come down between day 6 and day 47.

From 1,413 similar postings that came down. Coming down is not always a hire.

Continental is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring has slowed
Takes jobs down at a usual pace
25% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
Azure
Power BI
Power Query

Where the posting names them

- Power BI Data Analyst Associate (PL-300) certification. - Basics in SQL, Python, and/or KNIME Workflow Development. - Experience with data warehousing, ETL processes, and cloud platforms (Azure preferred).

- Basics in SQL, Python, and/or KNIME Workflow Development. - Experience with data warehousing, ETL processes, and cloud platforms (Azure preferred). Additional Information

Development & Optimization - Design, develop, and maintain dashboards and reports using Power BI, ensuring compliance with enterprise standards for governance and scalability. - Collaborate with cross-functional teams to gather business requirements and translate them into data solutions, ensuring consistent KPI definitions.

Innovation - Stay up to date with the latest Power BI adopting new capabilities to enhance our analytics maturity. Qualifications

- Experience in virtual project management within remote teams. - Experience integrating Power BI with SharePoint, Teams, or other collaboration tools. - Proficiency in Power BI, including DAX, M Language for Power Query, and data modeling.

- Experience integrating Power BI with SharePoint, Teams, or other collaboration tools. - Proficiency in Power BI, including DAX, M Language for Power Query, and data modeling. - Excellent problem-solving skills, analytical thinking, and attention to detail.

Preferred - Power BI Data Analyst Associate (PL-300) certification. - Basics in SQL, Python, and/or KNIME Workflow Development.

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About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Description

We are seeking a highly motivated Data Analytics Engineer to design, develop, and maintain scalable data solutions that transform raw data into actionable business insights. This role combines data engineering, analytics, and business intelligence capabilities to support strategic decision-making, operational excellence, and digital transformation initiatives.

The ideal candidate will work closely with business stakeholders, analysts, power users and IT teams to develop robust data models, automated data pipelines, and interactive reporting solutions that drive measurable business value.

Responsibilities:

Data Engineering and Integration

Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
Integrate data from multiple enterprise systems, databases, APIs, and cloud platforms.
Ensure data quality, consistency, governance, and security across all solutions.
Monitor and optimize data workflows for performance and reliability.

Development & Optimization

Design, develop, and maintain dashboards and reports using Power BI, ensuring compliance with enterprise standards for governance and scalability.
Collaborate with cross-functional teams to gather business requirements and translate them into data solutions, ensuring consistent KPI definitions.
Validate data sources and ensure semantic models comply with security rules.
Apply best practices for DAX, data modeling, and performance optimization.
Document processes and enforce adherence to governance practices.

Support & Enablement

Act as the main point of contact for business users, supporting reporting initiatives.
Troubleshoot issues related to data sources, refresh schedules, and visualization.
Provide training, guidelines, and documentation to improve data literacy and effective report usage.
Foster active community engagement.

Innovation

Stay up to date with the latest Power BI adopting new capabilities to enhance our analytics maturity.

Qualifications

Required

Advanced English (Spanish is a plus).
Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Administration, Data Science/Analytics or related field.
4+ years in BI or analytics roles.
Experience in virtual project management within remote teams.
Experience integrating Power BI with SharePoint, Teams, or other collaboration tools.
Proficiency in Power BI, including DAX, M Language for Power Query, and data modeling.
Excellent problem-solving skills, analytical thinking, and attention to detail.
Effective communication skills, with proven ability to influence stakeholders and work collaboratively in cross-functional teams.

Preferred

Power BI Data Analyst Associate (PL-300) certification.
Basics in SQL, Python, and/or KNIME Workflow Development.
Experience with data warehousing, ETL processes, and cloud platforms (Azure preferred).

Additional Information

All your information will be kept confidential according to EEO guidelines.

Ready to drive with Continental? Take the first step and fill in the online application.

Company Description

Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2022, Continental generated sales of €39.4 billion and currently employs around 200,000 people in 57 countries and markets.

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