Data Engineer - Hays

Data Engineer (Databricks, Python, Spark)AtHays, we are partnering with a leading global company in the financial services and investment management sector to find an experiencedData Engineerto 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 Engineeringexperience including 2+ years designing and buildingDatabricks data pipelinesis required.2+ years of hands-onPython/Pyspark/SparkSQLand/orScalaexperience2+ years of experience withBig Data pipelinesorDAG Tools (Data Factory, Airflow, dbt, or similar)2+ years ofSparkexperience (especially Databricks Spark and Delta Lake)2+ years of hands-on experience implementingBig Data solutionsin a cloud ecosystem, includingData/Delta LakesAzure cloudis highly preferred, however will consider AWS, GCP or other cloud platform experience in lieu.Experience withAI, LLMs, Databricks Genieor similar tools is required2+ years ofSQL 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:only1 day per week on-siteat the Barcelona office (Via Augusta)Opportunity to join ahigh-impact global data transformation programwithin 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.

3+ years of Data Engineeringexperience including 2+ years designing and buildingDatabricks data pipelinesis required. 2+ years of hands-onPython/Pyspark/SparkSQLand/orScalaexperience 2+ years of experience withBig Data pipelinesorDAG Tools (Data Factory, Airflow, dbt, or similar) 2+ years ofSparkexperience (especially Databricks Spark and Delta Lake) 2+ years of hands-on experience implementingBig Data solutionsin a cloud ecosystem, includingData/Delta Lakes Azure cloudis highly preferred, however will consider AWS, GCP or other cloud platform experience in lieu. Experience withAI, LLMs, Databricks Genieor similar tools is required 2+ years ofSQL 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 What We Offer Hybrid and flexible working model:only1 day per week on-siteat the Barcelona office (Via Augusta) Opportunity to join ahigh-impact global data transformation programwithin 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.

AtHays, we are partnering with a leading global company in the financial services and investment management sector to find an experiencedData Engineerto join a strategic data transformation project.