Senior Data Engineer / Data Architect

Description

Job Summary: We are looking for senior professionals to design, evolve, and manage modern, scalable data platforms in cloud and hybrid environments, with real ownership over architecture and technical standards decisions. Key Highlights: 1. Real ownership over architecture and technical standards decisions 2. 20 days/year dedicated to development and training 3. Growth in technical leadership Senior Data Engineer / Data Architect Portugal or European Union \| Remote / Hybrid We are seeking senior data engineers and data architects with solid Databricks experience to design, evolve, and manage modern, scalable, and secure data platforms across cloud and hybrid environments. This role involves real ownership over architecture, data quality, and technical standards, with direct interaction with engineering teams, analytics teams, and business stakeholders. What you will do \- Design data architectures based on Databricks Lakehouse, Delta Lake, and Apache Spark \- Build robust analytical pipelines using Python and SQL \- Define and apply data governance, quality, security, and enterprise standards \- Implement continuous integration and continuous delivery (CI/CD) pipelines with automation, testing, and version control \- Work in Azure, AWS, or GCP environments, including hybrid scenarios \- Provide technical guidance to other engineers and contribute to Centres of Excellence What we are looking for \- Proven hands-on experience with Databricks and Apache Spark \- Advanced proficiency in Python and SQL \- Solid understanding of modern cloud-based data architectures \- Experience with dbt and analytics engineering \- Experience in data quality, compliance, and demanding enterprise contexts \- Ability to communicate clearly with both technical and business profiles \- Fluent English \- Residence within the European Union Nice to have \- Experience in data platform migrations \- Background in Banking, Insurance, or regulated sectors \- Exposure to machine learning in production or MLOps What we offer \- 20 days/year dedicated to development and training \- Supported certifications (Databricks, Azure, AWS) \- Growth in technical leadership \- Close collaboration with senior architects and consultants We seek individuals who think about architecture long-term and build platforms that withstand scale, time, and audit. \-\-\- Who we are \| XScience XScience is a technology partner focused on building enterprise-grade data platforms and analytical solutions. We work with organisations that demand technical rigour, predictability and well-founded decisions. We operate at the intersection of engineering, architecture and business, helping our clients transform data into reliable, auditable and scalable systems. We favour solid approaches, mature technologies and engineering practices that stand the test of time. We are looking for professionals who think long term, challenge fragile solutions and value well-engineered systems. Senior Databricks Engineer / Data Architect Portugal or European Union \| Remote / Hybrid We are looking for senior data engineers and data architects with strong Databricks experience to design, evolve and manage modern, scalable and secure data platforms across cloud and hybrid environments. This role involves real ownership over architecture, data quality and technical standards, with direct interaction with engineering teams, analytics teams and business stakeholders. What you will do \- Design data architectures based on Databricks Lakehouse, Delta Lake and Apache Spark \- Build reliable analytical pipelines using Python and SQL \- Define and apply data management, quality, security and enterprise standards \- Implement continuous integration and continuous delivery (CI/CD) pipelines, including automation, testing and version control \- Work across Azure, AWS or GCP, including hybrid environments \- Provide technical guidance and contribute to Centres of Excellence What we are looking for \- Proven hands-on experience with Databricks and Apache Spark \- Advanced proficiency in Python and SQL \- Strong understanding of modern cloud data architectures \- Experience with dbt and analytics engineering \- Experience in data quality, compliance and enterprise environments \- Strong communication skills with technical and non-technical stakeholders \- Fluent English \- Based in the European Union Nice to have \- Experience in data platform migrations \- Background in Banking, Insurance or regulated industries \- Exposure to machine learning in production or MLOps What we offer \- 20 dedicated learning and development days per year \- Fully supported certifications (Databricks, Azure, AWS) \- Technical leadership growth \- Close collaboration with senior architects and consultants We are looking for people who think in systems and build data platforms that scale, endure and stand up to scrutiny. Skills: Databricks, Apache, Spark, Delta Lake, Python, SQL, Azure, AWS, GCP dbt, CI/CD, ML Ops Benefits: * Meal card/Ticket * Remote work Work location: Remote