We are looking for a Data Engineer / Analytics Engineer with strong experience in DBT, SQL and Oracle to join our team and support key data transformation and analytics initiatives. You will design, build and optimize data pipelines and models, ensuring scalability, performance and high-quality data delivery.
The role can be performed from any location in Spain under a hybrid model, combining some days working from home with others in the office, enabling collaboration and strong team dynamics. It is essential to reside in Spain and have a valid work permit.
Responsibilities
Design and build scalable data pipelines using DBT, implementing modular models, tests and documentation.
Develop and optimize complex SQL queries across large-scale datasets, ensuring performance and reliability.
Work with Oracle environments, performing data modeling, analysis of execution plans and performance tuning.
Collaborate with BI, architecture and business teams to integrate new data sources and support advanced analytics use cases.
Additional Technical Responsibilities
Manage version control workflows using Git, ensuring code quality and continuous integration in data projects.
Participate in cloud data initiatives (AWS, Azure or GCP) to migrate and modernize data workloads.
Implement orchestration of data processes using tools such as Airflow or Prefect for robust end-to-end automation.
Ensure best practices across testing, documentation, lineage and governance within DBT-based ecosystems.
Requirements
More than 3 years of experience in Data Engineering or Analytics Engineering roles.
Strong proficiency in SQL for transformation and analytical workloads.
Hands-on experience working with DBT.
Solid experience with Oracle databases.
English language skills.
Education related to DBT Engineering.
Experience with Power BI, Tableau or Looker is a plus.
Experience with cloud platforms and orchestration tools is highly valued.
About the company
At Accenture, we believe in technology as the engine for the total reinvention of the company. We work with the leading platforms and partners in the market to drive our clients´ businesses through digitalization, AI, and data. If you want to be part of a Great Place To Work® and join a team of over 801,000 professionals worldwide, keep reading, Accenture is a leading global professional services company that helps the world´s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world´s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and
build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities., Nunca debes compartir tus datos bancarios ni fotos de tus documentos al solicitar un empleo. Si tienes alguna duda sobre un proceso de selección
En esta oferta serás redirigido a la pagina web de la empresa.
Completa el formulario en su web.
Datos principales de la oferta
* Madrid - España
* Base de Datos/DBA
Funciones
* Jornada completa
Jornada
* 3 años
Experiencia
* Indefinido
Tipo contrato
* DBT SQL Oracle Git
Apply for this position
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
04:19 MIN
Introducing dbt for structured SQL data transformations
Enjoying SQL data pipelines with dbt
02:37 MIN
Managing incidents and projects for banking clients
Fireside Chat with Lea
01:03 MIN
Addressing the extraction and loading phases of ELT
Enjoying SQL data pipelines with dbt
03:47 MIN
Applying software engineering practices to data pipelines
Enjoying SQL data pipelines with dbt
05:00 MIN
Using the Modern Data Stack and DBT for transformations
Modern Data Architectures need Software Engineering
01:55 MIN
Merging data engineering and DevOps for scalability
Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure
03:42 MIN
Exploring the dbt ecosystem and key integrations
Enjoying SQL data pipelines with dbt
01:19 MIN
From fintech team building to architecture consulting
Event-Driven Microservices: Patterns and Practices - Lutz Heunkhen