Capitole is growing fast, and we want you to be part of the journey! We are looking for a

Senior Data Engineer

with

+6 years of experience

to help drive the evolution of our

Azure-based Data Platform

and

Lakehouse architecture .

This role is focused on Data Products development. The successful candidate will build pipelines in ADF, DAGs in Airflow and work closely with POs to refine business requirements and transform business needs into reliable Data Products in Databricks.

Responsibilities:

Implement scalable, reliable and reusable data pipelines using Azure Data Factory and Apache Airflow.

Develop data transformations in Azure Databricks (PySpark / SQL) to create/extend data products following the Medallion Architecture layers:

Bronze (raw ingestion)

Silver (cleansed & conformed)

Gold (business-ready data products)

Optimize performance, cost, and reliability of data workloads.

Raise important questions during business maturation in order to detect risks before development stage.

Technical Leadership

Participate in architecture reviews and technical decision-making.

Promote engineering excellence through code reviews and design reviews.

Collaborate with Architects, Product Owners in data product technical maturation.

Support & Operations (Run Team Collaboration)

Provide support to the Run/Operations team for production pipelines and data products for complex topics.

Troubleshoot and resolve data incidents, failures, and performance issues.

Participate in incident management, root cause analysis, and post-mortems.

Ensure proper handover, documentation, and operational readiness of developed solutions.

Contribute to improving runbooks, monitoring, and operational processes.

Requirements: Technical Skills

6+ years of experience in data engineering.

Strong technical expertise with:

Python (PySpark)

SQL (advanced level)

Hands-on experience with Azure-based Data Platform including:

Databricks

Unity Catalog

Apache Airflow

Azure Data Factory





Reporting and BI tools (Power BI, Tableau or similar)

Solid understanding of data modelling fundamentals, main architectures and design patterns:

Data Warehouse, Data Lake and Data Lakehouse architectures

Medallion architecture

Metadata-driven architecture

ETL/ELT design patterns

Understanding of:

Partitioning, optimization, and performance

Batch and streaming pipelines

Soft Skills

Strong problem-solving and analytical thinking.

Ability to work in cross-functional teams.

Ownership mindset and attention to detail.

Good communication skills with both technical and business stakeholders.

What we’re looking for in you:

Built metadata-driven orchestration frameworks.

Designed reusable ETL frameworks.

Led an Airflow implementation or migration.

Implemented observability and data quality platforms.

Acted as a lead engineer or senior individual contributor in a modern Lakehouse environment.

Why you'll love working with us

€1,200/year for your professional development (trainings, events, certifications…)

Monthly feedback sessions with your team to keep learning and growing

Private health insurance fully covered by Capitole

Payflow benefits (meal, transport, childcare vouchers)

Wellhub subscription

Discounts with top brands through Capitole Club

Life at Capitole

Team buildings every two months (our

summer party

and Christmas dinner are legendary!)

Football, padel, and basketball teams sponsored by Capitole

Tech communities where sharing knowledge is part of our DNA

And above all… an

AMAZING TEAM

that you’ll love being a part of!

Want to learn more about us? capitole-consulting.com

See what our teams are saying about us: Glassdoor Reviews

The employee will adhere to information security policies:

Will have access to confidential information related to Capitole and the project they are working on.

Must comply with the security and internal policies of both the company and the client.

Must sign an

NDA (Non-Disclosure Agreement) .

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📌 Hibrido BCN - Senior Data Engineer (Bellprat)
🏢 Capitole Consulting
📍 Bellprat