OverviewThis is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth as you get to work with high quality team to support clients ensuring the stability of global companies through best‐in‐class solutions, automation and innovation, working with an international team.
As a member of our team in the EY GDS Spain office in Malaga, you'll have a chance to extend your knowledge & experience by working on interesting projects with the newest technologies and approaches. You'll support clients in choosing the most suitable business solution and take part in digital transformation.
Your key responsibilitiesAs a Data Engineer, your responsibilities will include:
Design, implement, and test solutions for various Analytics use cases (Batch Analysis; Streaming Analytics; Advanced Analytics or Machine Learning; Generative AI) on major public cloud infrastructures (e.g., Azure, Google Cloud) and cloud‐agnostic data warehousing solutions (Snowflake, Databricks).
Lead the design and development of scalable and efficient data pipelines, integrating them into cloud‐native architectures.
Research and evaluate innovative technologies in the Data & AI domain.
Collaborate with interdisciplinary teams to ensure project delivery.
Support the management of relationships with clients and technology partners.
Skills and attributes for successTo thrive in this role, key skills and attributes for success include:
Curiosity and commitment to researching and adopting innovative technologies in the Data & AI space.
Excellent collaboration skills to work effectively with cross‐functional and interdisciplinary teams.
Strong communication skills for clear stakeholder engagement and client relationship support.
Ability to thrive in consulting or enterprise environments, balancing technical delivery with client‐facing responsibilities.
Proactive mindset and team‐oriented attitude, contributing to a positive and productive work environment.
Qualifications
Degree in engineering or scientific (STEM) disciplines.
2 years of experience in Data & Analytics projects, preferably in consulting or enterprise environments.
Experience developing solutions in at least two of the following platforms: Azure, Databricks, Google Cloud (BigQuery), Snowflake.
SQL and Python.
Experience in designing and developing modern data architectures (Data Lake, Data Warehouse, Data Mesh).
Good communication skills and a strong team‐oriented attitude.
Fluency in English.
Preferred
B2 in Italian is a plus.
Experience in Machine Learning.
Knowledge of Data Integration tools (e.g., Informatica, Talend, Data Factory).
Experience with Generative AI or MLOps projects.
Familiarity with visualization tools (Qlik, Power BI).
Benefits
Empowering Career Development: tailored training and development programs.
Flexible Work‐Life Integration: hybrid work model.
Comprehensive Well‐Being Programs: wellness initiatives, psychological support sessions, health resources.
Meaningful Volunteering Opportunities: community volunteering programs.
Recognized Performance and Rewards: recognition programs for individual and team successes.
This employer is committed to building diverse teams and creating an inclusive workplace.
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