Data Engineer

Vila Real, Vila Real, Portugal

Live, first seen by us 19 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

Create and maintain automated data pipelines from various sources and business domains
Design, develop and operate scalable Lakehouse solutions on Databricks
Integrate data from legacy enterprise applications such as SAP
Monitor and optimize ETL pipelines for reliability and performance
Support AI initiatives with reliable, secure data for analytics and AI use cases

From the employer’s posting

You will create and maintain automated data pipelines from various sources and business domains

You will use Databricks as the primary platform to design, develop and operate scalable Lakehouse solutions.

You will explore, integrate and connect data from legacy enterprise applications such as SAP and other business systems

You will monitor and optimize ETL pipelines to ensure they remain reliable, efficient and performant.

ensuring reliable data availability for analytics and AI use cases

What you’ll bring

All qualifications

Core experience

2+ years as a Data Engineer, Analytics Engineer or AI/Data Engineer
Master's degree in Computer Science, Data Engineering, Applied Mathematics or similar
Strong SQL and Python skills
Experience with Databricks, AWS and modern Lakehouse architectures
Experience building and maintaining scalable ETL/ELT pipelines

Qualification wording

2+ years of experience as Data Engineer, Analytics Engineer or AI/Data Engineer.

Master's degree in Computer Science, Data Engineering, Applied Mathematics or similar field.

Strong SQL and Python skills.

Experience with Databricks, AWS and modern Lakehouse architectures.

Experience building and maintaining scalable ETL/ELT pipelines.

Education & alternatives

Qualifications - Master's degree in Computer Science, Data Engineering, Applied Mathematics or similar field. - 2+ years of experience as Data Engineer, Analytics Engineer or AI/Data Engineer.

Apply at Aumovio

Posting record

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Status in our records: Live
First seen by us: Oct 15, 202619 days ago
Recorded sightings: 108
Last seen by us: Nov 4, 2026
Employer says posted: Sep 14, 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 19

Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Aumovio is hiring

6 open jobs

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

Hiring is picking up
Takes jobs down quickly
17% 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
AWS
Databricks
Delta Lake
Power BI
SAP

Where the posting names them

- 2+ years of experience as Data Engineer, Analytics Engineer or AI/Data Engineer. - Strong SQL and Python skills. - Experience with Databricks, AWS and modern Lakehouse architectures.

- Strong SQL and Python skills. - Experience with Databricks, AWS and modern Lakehouse architectures. - Experience building and maintaining scalable ETL/ELT pipelines.

- You will play a key role in the company's digital transformation journey, helping to centralize and democratize enterprise data across business functions. - You will use Databricks as the primary platform to design, develop and operate scalable Lakehouse solutions. - You will explore, integrate and connect data from legacy enterprise applications such as SAP and other business systems, ensuring reliable data availability for analytics and AI use cases.

- Understanding of AI data architectures, including RAG, vector search and LLM applications. - Experience with Unity Catalog and Databricks governance capabilities. Additional Information

- Experience building and maintaining scalable ETL/ELT pipelines. - Knowledge of data modeling, data warehousing and Delta Lake concepts. - Experience with Git and CI/CD practices.

- Experience integrating SharePoint and enterprise document repositories. - Knowledge of Power BI or similar BI tools. - Understanding of AI data architectures, including RAG, vector search and LLM applications.

- You will use Databricks as the primary platform to design, develop and operate scalable Lakehouse solutions. - You will explore, integrate and connect data from legacy enterprise applications such as SAP and other business systems, ensuring reliable data availability for analytics and AI use cases. - A significant part of your work will focus on enabling and supporting AI initiatives, requiring a strong interest in Artificial Intelligence, modern data architectures and emerging technologies.

Nice to Have: - Experience with SAP data sources. - Experience integrating SharePoint and enterprise document repositories.

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About the role

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

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

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 data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

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

You will create and maintain automated data pipelines from various sources and business domains, including data modeling, transformation and preparation to support Business Intelligence and AI solutions.
You will play a key role in the company's digital transformation journey, helping to centralize and democratize enterprise data across business functions.
You will use Databricks as the primary platform to design, develop and operate scalable Lakehouse solutions.
You will explore, integrate and connect data from legacy enterprise applications such as SAP and other business systems, ensuring reliable data availability for analytics and AI use cases.
A significant part of your work will focus on enabling and supporting AI initiatives, requiring a strong interest in Artificial Intelligence, modern data architectures and emerging technologies.
You will be responsible for maintaining data reliability, integrity and availability while complying with Cybersecurity and IT security standards.
You will monitor and optimize ETL pipelines to ensure they remain reliable, efficient and performant.
Stay up to date with the latest developments and trends in Data Engineering and Artificial Intelligence, incorporating new methodologies into daily work.

Qualifications

Master's degree in Computer Science, Data Engineering, Applied Mathematics or similar field.
2+ years of experience as Data Engineer, Analytics Engineer or AI/Data Engineer.
Strong SQL and Python skills.
Experience with Databricks, AWS and modern Lakehouse architectures.
Experience building and maintaining scalable ETL/ELT pipelines.
Knowledge of data modeling, data warehousing and Delta Lake concepts.
Experience with Git and CI/CD practices.
Understanding of data governance, access control and data quality principles.
Strong communication skills and fluent English.

Nice to Have:

Experience with SAP data sources.
Experience integrating SharePoint and enterprise document repositories.
Knowledge of Power BI or similar BI tools.
Understanding of AI data architectures, including RAG, vector search and LLM applications.
Experience with Unity Catalog and Databricks governance capabilities.

Additional Information

Ready to take your career to the next level? The future of mobility isn’t just anyone’s job. Make it yours! Join AUMOVIO. Own What’s Next.

Company Description

Since its spin-off in September 2025 AUMOVIO continues the business of the former Continental group sector Automotive as an independent company. The technology and electronics company offers a wide-ranging portfolio that makes mobility safe, exciting, connected, and autonomous. This includes sensor solutions, displays, braking and comfort systems as well as comprehensive expertise in software, architecture platforms, and assistance systems for software-defined vehicles. In the fiscal year 2024 the business areas, which now belong to AUMOVIO, generated sales of 19.6 billion Euro. The company is headquartered in Frankfurt, Germany and has about 87.000 employees in more than 100 locations worldwide.

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