You build the data platform other people rely on. Every dashboard, every model, every decision.

About BindWorks

BindWorks is a Portuguese IT consultancy built differently. We’re not a CV farm. We’re not a body shop. We are a team of engineers, architects, and delivery professionals who genuinely care about the work we do — and about the people who do it.

We partner with national and international clients to build meaningful, lasting technology: cloud-native platforms, data ecosystems, AI-powered products, and complex enterprise systems. We invest in long-term relationships — with our clients and with our people.

If you want to work on real challenges, grow fast, and be part of a company where your voice matters and your craft is respected — you’re in the right place.

Our engineering culture is built on four pillars:

we don’t just deliver tasks, we own outcomes

clean, well-designed, maintainable software is non-negotiable

we invest in people through certifications, mentoring and challenging projects

flat hierarchy, honest communication, no corporate noise

The Role

We’re looking for an Azure Data Engineer to design, build and operate modern data platforms on Microsoft Azure. You’ll work on the full stack of data: ingestion, transformation, quality, delivery, and the infrastructure that makes it all reliable at scale.

Your work will directly power analytics, business intelligence, machine learning models and executive decision-making. You’ll collaborate with data scientists, BI developers, architects and business teams — and your pipelines will be trusted to work, every time.

Microsoft Fabric

Spark / PySpark

Python

SQL

Git / CI/CD

DataOps

Nice to have

Power BI / Semantic Models

dbt

Unity Catalog

Event Hubs

Kafka / Structured Streaming

Medallion Architecture

Data Governance

Scala

What You’ll Do

️ • Design, build and maintain data pipelines in Azure Data Factory, Synapse, Databricks or Fabric

️ • Implement ingestion, transformation, quality validation and data delivery processes

️ • Build and evolve lakehouse, data warehouse and analytical data architectures

️ • Create optimized data models for BI, analytics and ML consumption

️ • Ensure security, governance, data lineage, performance and cost efficiency

️ • Implement monitoring, alerts and operational best practices for production pipelines

️ • Collaborate with BI, data science, architecture and business stakeholders

What We Need From You

️ • Experience as a Data Engineer working in the Microsoft Azure ecosystem

️ • Hands-on knowledge of Azure Data Factory, Synapse, Databricks, ADLS or Microsoft Fabric

️ • Strong SQL skills, data modelling experience and distributed processing knowledge

️ • Experience with Spark, Python or PySpark

️ • Familiarity with Parquet, Delta Lake and medallion (Bronze / Silver / Gold) architectures

️ • Experience with Git, CI/CD and DataOps practices

️ • Microsoft Azure Data Engineer Associate or Fabric certifications

️ • Experience building Power BI datasets, semantic models or analytical layers

️ • Knowledge of dbt, Purview, Unity Catalog or data governance tooling

️ • Experience with streaming data using Event Hubs, Kafka or Spark Structured Streaming

What We Offer

️ • Projects that matter

Challenging, modern-stack projects for national and international clients — no boring maintenance-only roles.

You’ll have a genuine say in architecture, technical decisions and delivery — not just tickets to close.

Certifications, technical training and a culture that rewards curiosity — we co-invest in your development.

Hybrid or remote working model, depending on the project — we trust you to deliver.

Code reviews, architecture discussions, internal knowledge-sharing — we take craft seriously

Private health insurance included from day one

Salary aligned with your experience and market — we don’t lowball good people

Clear progression framework with regular check-ins — no guesswork about your next step

Small enough to know everyone, experienced enough to challenge you daily

Diversity & Inclusion

BindWorks is committed to building a team that reflects the world we live in. We evaluate every candidate on skills, mindset, and potential — never on gender, ethnicity, nationality, age, disability, sexual orientation, religion, or background. If you need any adjustments during our recruitment process, just let us know.

Azure Data Platform Engineer for Scalable Analytics

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