Data Engineer

Hays
Pontevedra, Spain
2 days ago
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Role details

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

Tech stack

Artificial Intelligence Airflow Amazon Web Services Microsoft Azure Big Data Cloud Computing Continuous Integration Information Engineering Data Infrastructure Data Transformation Github Python (Programming Language)
+9 more
Cloud Services SQL Databases Large Language Models Apache Spark Data Lakes Pyspark Data Analytics Data Pipelines Databricks

Job description

Data Engineer (Databricks, Python, Spark)¿Es usted el solicitante adecuado para esta oportunidad?Descúbralo leyendo el resumen del puesto a continuación.At Hays, we are partnering with a leading global company in the financial services and investment management sector to find an experienced Data Engineer to join a strategic data transformation project.This is an exciting opportunity to work with international teams, modern cloud technologies, and large-scale financial datasets, helping build and enhance a key data platform that supports critical investment operations and analytics.What you will doDesign, develop, and maintain scalable data pipelines using Databricks.Build Big Data solutions with Spark, PySpark, and cloud technologies.Collaborate with global investment and technology teams to deliver data-driven solutions.Support business stakeholders with data insights and reporting.Contribute to best practices, CI/CD processes, and continuous improvement initiatives.Explore and leverage AI and LLM technologies to enhance platform capabilities.What we are looking for3+ years of Data Engineering experience including 2+ years designing and building Databricks data pipelines is required.2+ years of hands-on Python/Pyspark/SparkSQL and/or Scala experience2+ years of experience with Big Data pipelines or DAG Tools (Data Factory, Airflow, dbt, or similar)2+ years of Spark experience (especially Databricks Spark and Delta Lake)2+ years of hands-on experience implementing Big Data solutions in a cloud ecosystem, including Data/Delta LakesAzure cloud is highly preferred, however will consider AWS, GCP or other cloud platform experience in lieu.xbhjioeExperience with AI, LLMs, Databricks Genie or similar tools is required2+ years of SQL experience, specifically to write complex, highly optimized queries across large volumes of data is highly desiredExperience working in a controlled environment with Github and CI/CD release pipelines is highly desiredExperience with financial data providers such as Bloomberg in an asset/investment management firm or other financial service company is a plus.Experience with conceptual, logical and/or physical database designs is a plusMust be comfortable speaking EnglishA positive attitude and a ‘can do’ mentality are essentialWhat We OfferHybrid and flexible working model: only 1 day per week on-site at the Barcelona office (Via Augusta)Opportunity to join a high-impact global data transformation program within a leading international financial services organizationIf you’re passionate about building impactful solutions and want to be part of a collaborative, forward-thinking team, we’d love to hear from you.

Requirements

3+ years of Data Engineering experience including 2+ years designing and building Databricks data pipelines is required. 2+ years of hands-on Python/Pyspark/SparkSQL and/or Scala experience 2+ years of experience with Big Data pipelines or DAG Tools (Data Factory, Airflow, dbt, or similar) 2+ years of Spark experience (especially Databricks Spark and Delta Lake) 2+ years of hands-on experience implementing Big Data solutions in a cloud ecosystem, including Data/Delta Lakes Azure cloud is highly preferred, however will consider AWS, GCP or other cloud platform experience in lieu. xbhjioe Experience with AI, LLMs, Databricks Genie or similar tools is required 2+ years of SQL experience, specifically to write complex, highly optimized queries across large volumes of data is highly desired Experience working in a controlled environment with Github and CI/CD release pipelines is highly desired Experience with financial data providers such as Bloomberg in an asset/investment management firm or other financial service company is a plus. Experience with conceptual, logical and/or physical database designs is a plus Must be comfortable speaking English A positive attitude and a ‘can do’ mentality are essential

Benefits & conditions

Hybrid and flexible working model: only 1 day per week on-site at the Barcelona office (Via Augusta) Opportunity to join a high-impact global data transformation program within a leading international financial services organization If you’re passionate about building impactful solutions and want to be part of a collaborative, forward-thinking team, we’d love to hear from you.

About the company

At Hays, we are partnering with a leading global company in the financial services and investment management sector to find an experienced Data Engineer to join a strategic data transformation project.

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Apply on www.buscojobs.com.es
Prepare application

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