Lead Data Engineer at Bridge 351
May no longer be active — verify on the employer site
At a glance
- Company
- Bridge 351
- Location
- Lisboa, PT, Portugal
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ 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:
- Lead design and delivery of end-to-end cloud-native data architectures: ingestion, modeling (e.g., Medallion), storage and orchestration.
- Implement and optimise ETL/ELT pipelines for performance, cost-efficiency and reliability across data lake/warehouse solutions.
- Establish practices for data validation, lineage, documentation and monitoring at scale.
- Provide technical leadership: mentor engineers, enforce standards, make trade-off decisions and communicate them to stakeholders.
- Drive DataOps/CI-CD improvements and collaborate with cross-functional teams on platform evolution.
Requirements:
- Minimum 8 years of data engineering experience with strong cloud-native and data architecture background.
- Proficiency in Python, SQL and Spark and hands-on experience with Azure (Fabric, Data Factory, Synapse) or equivalent cloud tooling (GCP/AWS).
- Practical experience with data lake/warehouse technologies (Delta Lake, ADLS, BigQuery, Redshift) and data modeling.
- Familiarity with DevOps/DataOps practices, CI/CD pipelines, monitoring and data governance.
- Strong leadership, communication and mentoring skills; English proficiency at B2 or higher.
Responsibilities
Lead the design and implementation of end-to-end cloud-native data architectures, including ingestion, modeling, and orchestration. Provide technical leadership by mentoring engineers, optimizing pipelines, and communicating complex decisions to stakeholders.
Requirements
Requires a minimum of 8 years of experience in data engineering with proficiency in Python, SQL, and cloud platforms like Azure, AWS, or GCP. Candidates must have strong leadership skills and B2 level English proficiency.
Key skills
- Data Architecture — in 39 other listings on The Stack
- Microsoft Fabric — in 11 other listings on The Stack
- Azure Data Factory — in 14 other listings on The Stack
- Azure Synapse — in 3 other listings on The Stack
- Python — in 1200 other listings on The Stack
- SQL — in 545 other listings on The Stack
- Spark — in 54 other listings on The Stack
- Data Warehousing — in 56 other listings on The Stack
- Data Lake
- DevOps
- DataOps
- CI/CD
- Technical Leadership
- Mentoring
- RDBMS
- NoSQL
On The Stack (as of 2026-11-05)
Frequently asked questions about Bridge 351
Is this Lead Data Engineer role still open?
It was posted on 2026-04-14. 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: Data Architecture, Microsoft Fabric, Azure Data Factory, Azure Synapse, Python, SQL, Spark, Data Warehousing, Data Lake, DevOps, DataOps, CI/CD, Technical Leadership, Mentoring, RDBMS, NoSQL.