Senior Data Engineer - Sant Just Desvern

Jobrapido
Barcelona, Spain
3 days ago
Apply on www.buscojobs.com.es
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Agile Methodology Data Analysis BigQuery Cloud Computing Information Engineering Data Governance Extract Transform Load (ETL) Dimensional Modeling Python (Programming Language) Modular Design NoSQL Software Tools
+8 more
Cloud Services Cloudera SQL Databases Data Streaming Google Cloud Data Lakes Data Analytics Data Pipelines

Job description

OverviewDesplácese hacia abajo para encontrar una descripción detallada de este trabajo y lo que se espera de los candidatos.Envíe su solicitud haciendo clic en el botón “Solicitar”.In this role you will build and scale data pipelines and analytics capabilities to support data-driven decision making.As part of a cross?functional Agile analytics team, you will deliver data products and ML-enabled solutions that reveal insights from connected data.You will mentor peers, promote scalable data practices, and evaluate new tools to boost the team’s productivity.This position combines engineering rigor with a focus on business impact in a global agribusiness context.ResponsabilidadesSolve complex data problems to deliver actionable insights for business goalsCreate data products to boost analytics and data science productivityMentor and coach data/analytic professionals on standards and practicesPromote reuse, scalable design, and operational efficiency of data solutionsLead evaluation and deployment of new analytic data engineering tools and processesDevelop education plans on analytic data engineering capabilities, standards, and processesPartner with analysts and solutions architects to shape technical architectures for enterprise projectsLearn about machine learning and data science concepts and workflowsEnsure timely analysis and testing for ongoing solution maintenanceRequisitos principalesPost graduate degree in STEM field with 3-5 years of Sr/Lead Data Engineer experienceExpertise in SQL and data analysis; proficient in Python orScalaExperience with data lakes or lakehousesExperience building solutions on cloud services with streaming and CDC pipelinesStrong Datalake/DW development using Cloud MPP engines (BigQuery preferred) xqysrnh and various relational, NoSQL, and cloud databasesConceptual knowledge of data analytics (dimensional modeling, ETL, data governance, warehousing)Experience with Google Cloud Platform data tools (BigQuery, DataStream, DataProc, DataPlex, DataForm)Familiarity with LinuxStrong communication, collaboration, and problem-solving skillsAgile experience and willingness to adapt to project evolutionCommunicationCollaborationMentoringSQLPython or ScalaData lakes / lakehouses

Requirements

You will mentor peers, promote scalable data practices, and evaluate new tools to boost the team’s productivity. This position combines engineering rigor with a focus on business impact in a global agribusiness context.ResponsabilidadesSolve complex data problems to deliver actionable insights for business goalsCreate data products to boost analytics and data science productivityMentor and coach data/analytic professionals on standards and practicesPromote reuse, scalable design, and operational efficiency of data solutionsLead evaluation and deployment of new analytic data engineering tools and processesDevelop education plans on analytic data engineering capabilities, standards, and processesPartner with analysts and solutions architects to shape technical architectures for enterprise projectsLearn about machine learning and data science concepts and workflowsEnsure timely analysis and testing for ongoing solution maintenanceRequisitos principalesPost graduate degree in STEM field with 3-5 years of Sr/Lead Data Engineer experienceExpertise in SQL and data analysis; proficient in Python orScalaExperience with data lakes or lakehousesExperience building solutions on cloud services with streaming and CDC pipelinesStrong Datalake/DW development using Cloud MPP engines (BigQuery preferred) xqysrnh and various relational, NoSQL, and cloud databasesConceptual knowledge of data analytics (dimensional modeling, ETL, data governance, warehousing)Experience with Google Cloud Platform data tools (BigQuery, DataStream, DataProc, DataPlex, DataForm)Familiarity with LinuxStrong communication, collaboration, and problem-solving skillsAgile experience and willingness to adapt to project evolutionCommunicationCollaborationMentoringSQLPython or ScalaData lakes / lakehouses

About the company

OverviewDesplácese hacia abajo para encontrar una descripción detallada de este trabajo y lo que se espera de los candidatos. Envíe su solicitud haciendo clic en el botón “Solicitar”. In this role you will build and scale data pipelines and analytics capabilities to support data-driven decision making. As part of a cross?functional Agile analytics team, you will deliver data products and ML-enabled solutions that reveal insights from connected data.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.buscojobs.com.es
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph ¡ LIVE

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva ¡ JS Congress

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 ¡ LIVE

3:16 min

Terminology differences between relational and NoSQL databases

Tim Faulkes ¡ LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou ¡ Coffee With Developers

3:27 min

Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic ¡ JS Congress

Videos

See all

Related articles

See all