Data Engineer

Amaris Consulting; Barcelona; Presencial; EUR 55.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible policies

Remote work options

Descripción de la vacante

Amaris Consulting is seeking a Data Engineer to join the IT Security & Compliance team in Barcelona. You will design and maintain data pipelines, ensure data quality, and collaborate with engineers, analysts, and product stakeholders to deliver robust data solutions.

The role emphasizes security, governance, and scalable data platforms, with opportunities to grow through a Tech Academy and cross-functional projects in a global group.

Formación

• Foundational knowledge of SQL, Python, and data modelling.
• Understanding of ETL/ELT pipelines and data-quality principles.
• Familiarity with Git and collaborative software-development practices.
• Strong analytical troubleshooting skills and willingness to learn and grow.
• Clear communication and ability to work in a multidisciplinary team.
• Degree or equivalent experience in Data Engineering, Computer Science, or related field.

Responsabilidades

• Develop and maintain data pipelines, tables, views, and data transformations for the IT Security & Compliance data platform.
• Perform data-quality, freshness, and completeness checks for reliable datasets.
• Monitor pipelines, investigate failures, and support incident resolution.
• Write maintainable SQL and Python code with tests and documentation.
• Contribute through code reviews and Azure DevOps CI/CD practices.
• Apply platform standards for security, access control, metadata, and governance.
• Collaborate with engineers, analysts, and product stakeholders to translate requirements into robust data solutions.
• Support onboarding and migration of data sources onto the unified data platform (UDP).
• Help improve automation, observability, reliability, and operational efficiency.

Conocimientos

SQL

Python

Data modelling

ETL/ELT pipelines

Data quality principles

Git

Analytical troubleshooting

Multidisciplinary team

Data Engineering / Computer Science

Educación

Data Engineering degree

Computer Science degree

Equivalent experience

Herramientas

Databricks

Spark

CI/CD

Terraform

Azure DevOps

Azure ARM

Power BI

Cloud data platforms

Descripción del empleo

Take your career to the next level with Amaris Consulting as a Data Engineer for an IT Security & Compliance team. Become part of an international team, thrive in a global group with €800M turnover and 1,000+ clients worldwide, and an agile environment by planning the kickoff and follow up on projects. Join Amaris Consulting, where you can develop your potential and make a difference within the company.

Required profile

• Foundational knowledge of SQL, Python, and data modelling
• Understanding of ETL/ELT pipelines and data-quality principles
• Familiarity with Git and collaborative software-development practices
• Strong analytical troubleshooting skills and willingness to learn and grow
• Clear communication skills and ability to work in a multidisciplinary team (engineers, analysts, product stakeholders)
• Degree or equivalent experience in Data Engineering, Computer Science, or a related field

Useful experience (nice to have)

• Experience with Databricks, Spark, cloud data platforms, or distributed processing
• Knowledge of CI/CD, infrastructure as code, monitoring, and alerting (e.g. Azure DevOps, Terraform, Azure ARM)
• Exposure to data governance, access management, or security-domain datasets
• Experience with Power BI or other analytics and reporting tools

Technological environment you’ll work with:

Azure Databricks, Databricks pipelines and jobs, Databricks Declarative Automation Bundles, Unity Catalog, Databricks SQL, Python, PySpark, Terraform, Azure DevOps, Azure ARM, API, SQL Server, OData, REST API, Claude Code

• Develop and maintain data pipelines, tables, views, and data transformations for the IT Security & Compliance data platform
• Perform data-quality, freshness, and completeness checks to ensure reliable datasets for stakeholders
• Monitor pipelines, investigate failures, and support incident resolution to keep the platform stable and performant
• Write maintainable SQL and Python code with appropriate tests and documentation
• Contribute through code reviews and Azure DevOps CI/CD practices, following engineering best practices
• Apply platform standards for security, access control, metadata, and governance
• Work closely with engineers, analysts, and product stakeholders to translate business requirements into robust data solutions
• Support onboarding and migration of data sources and SCI measures onto the unified data platform (UDP)
• Help improve automation, observability, reliability, and operational efficiency of the data platform
• Contribute to a governed data platform that centralizes common data, enhances discoverability via metadata, and enables AI-driven interaction and self-service analytics

Join our dynamic team of talented individuals and experience a world of growth and opportunities. Here's what we offer:

• Grow rapidly with a tailored career path and salary evaluation. 70% of our senior leaders started at entry level.
• Enhance your skills through our Tech Academy catalog, Udemy E-learning Platform, Languages Sessions, webinars, and workshops.
• Take charge of your training with an annual personal budget and company-paid certifications.
• Enjoy flexible policies, remote work options, and fantastic social benefits like transit and restaurant tickets, kindergarten support, and private health insurance.
• Benefit from our WeCare program, supporting employees in critical situations.
• Unleash your full potential, both professionally and personally.

Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.