We are looking for an experienced
Data Engineer to join an international technology team working on modern, cloud-based data solutions.
This is an exciting opportunity to contribute to the design and development of scalable data architectures, building high-performance data pipelines and enabling organisations to unlock the full potential of their data.
Your Responsibilities
- Design and maintain scalable ETL/ELT pipelines to ingest, transform and store data from databases, APIs and other sources in BigQuery and Cloud Storage.
- Develop batch and real-time data processing solutions using Dataflow, Apache Beam and Pub/Sub.
- Build and optimise SQL transformation workflows with Dataform and complex BigQuery queries, ensuring data quality and performance.
- Orchestrate workflows using Cloud Composer (Apache Airflow) and Cloud Functions.
- Support data governance, metadata management and lineage using Dataplex, while monitoring pipelines for reliability, scalability and cost efficiency.
- Collaborate with data scientists, analysts and technical stakeholders to deliver effective data solutions and stay up to date with GCP developments and best practices.
Your Profile
Essential Requirements
- At least 3 years of hands-on experience as a Data Engineer or in a similar role.
- Proven experience with Google Cloud Platform (GCP), particularly BigQuery and Dataflow (Apache Beam).
- Strong Python programming skills, ideally with pandas and/or PySpark, and advanced SQL expertise.
- Solid understanding of data warehousing, ETL/ELT processes and dimensional modelling.
- Experience integrating APIs and streaming data, preferably using Pub/Sub.
- Familiarity with workflow orchestration tools such as Cloud Composer or Apache Airflow.
- English proficiency at B2 level or above.
Nice to Have
- Experience with Dataform, BigLake, Dataplex, Terraform, Infrastructure as Code and CI/CD.
- Familiarity with Looker, Looker Studio or Power BI.
- Experience with machine learning workflows using Vertex AI or similar platforms.
- Google Professional Data Engineer certification.
What They Offer
- 100% remote work from Spain.
- International projects involving modern cloud data engineering technologies.
- Collaboration with experienced professionals across data engineering, analytics and AI.
- An agile, collaborative environment with knowledge-sharing opportunities.
- Structured onboarding, mentoring and continuous professional development.
- Ongoing training opportunities to support your technical growth.
If you are interested in this challenging position we are looking forward to receiving your comprehensive application for
ref.no. 112,607 preferably through our
ISG career portal or via email.
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