Data Engineer - Microsoft Azure at Bridge 351

✨ The Stack take on this Bridge 351 job

• 🏢 Bridge 351 has 14 jobs here, 14 with visa sponsorship see all
• 🛂 Visa: EU Blue Card. Salary: At least 1.5 times the national average annual salary (1.2 times in some cases) guide
• 💡 No salary shown. Ask Bridge 351 if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

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About the role

Responsibilities:
- Support requirements gathering and translate functional needs into technical tasks with the team.
- Implement and maintain ETL/ELT pipelines using Azure Data Factory, Azure Databricks and PySpark.
- Prepare, transform and validate data in Data Lake / Lakehouse environments (Parquet/Delta formats).
- Document implementations, follow best practices and help ensure data quality and reliability.
- Continuously learn platform tools and practices under guidance from senior engineers.

Requirements:
- Bachelor’s or Master’s degree in Computer Engineering, Data Science, Information Systems, Electrical Engineering or similar.
- 1–2 years experience (or relevant internship) in data engineering, BI or related areas.
- Practical knowledge of Azure Databricks and/or Azure Data Factory, PySpark and Power BI.
- Basic SQL and/or Python skills and familiarity with ETL/ELT concepts, Parquet/Delta formats and lakehouse patterns.
- Strong willingness to learn, good communication, teamwork, problem-solving and attention to detail.

Responsibilities

The candidate will develop and maintain ETL/ELT pipelines using Azure Data Factory, Databricks, and PySpark. They will also support data preparation and validation within Data Lake and Lakehouse environments.

Requirements

Requires a Bachelor's or Master's degree in Computer Engineering, Data Science, or a related field with 1 to 2 years of experience. Practical knowledge of Azure tools, PySpark, and SQL/Python is mandatory.

Key skills

• Azure Databricks — in 6 other listings on The Stack
• Azure Data Factory — in 14 other listings on The Stack
• PySpark — in 42 other listings on The Stack
• Power BI — in 48 other listings on The Stack
• SQL — in 545 other listings on The Stack
• Python — in 1200 other listings on The Stack
• ETL/ELT — in 20 other listings on The Stack
• Data Lake — in 10 other listings on The Stack
• Lakehouse Architecture
• Parquet
• Delta Lake
• Agile
• DevOps
• DataOps

On The Stack (as of 2026-11-05)

• Bridge 351 has 13 other listings on The Stack, 13 of them marked as offering visa sponsorship.
• 20 visa-sponsored jobs in Portugal on The Stack, posted in the last 60 days.
• 47 visa-sponsored data engineer jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about Bridge 351

Is this Data Engineer - Microsoft Azure role still open?

It was posted on 2026-04-09. Listings more than 30 days old may no longer be active, so check Bridge 351's site before applying.

Does Bridge 351 offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Bridge 351's site.

Where is this role located?

The listing gives the location as Lisboa, PT, Portugal. It is marked on-site.

What skills does this role ask for?

The listing names: Azure Databricks, Azure Data Factory, PySpark, Power BI, SQL, Python, ETL/ELT, Data Lake, Lakehouse Architecture, Parquet, Delta Lake, Agile, DevOps, DataOps.