# Data Engineer - Microsoft Azure at Bridge 351

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Support requirements gathering and trans

- **Company:** Bridge 351 (https://jobs.trythestack.co/companies/bridge-351)
- **Location:** Lisboa, PT, Portugal
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 0–2 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Azure Databricks, Azure Data Factory, PySpark, Power BI, SQL, Python, ETL/ELT, Data Lake, Lakehouse Architecture, Parquet, Delta Lake, Agile, DevOps, DataOps
- **Posted by employer:** 2026-04-09
- **Added to The Stack:** 2026-05-07
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://careers.bridge351.com/jobs/7538870-data-engineer-microsoft-azure (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-engineer-microsoft-azure-bridge-351

## 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.

## FAQ

- **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.

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## Notes for agents

- Apply on the employer's page (https://careers.bridge351.com/jobs/7538870-data-engineer-microsoft-azure). The Stack does not take applications.
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