Data Engineer
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At a glance
- Employment type
- Contract
- Workplace
- Hybrid
- Day rate
- €500-550/day (EUR)
- Category
- Data engineering
Technologies & skills
What you'll be doing
Senior Data Engineer (12-month contract, hybrid, Ireland) for a global financial services firm. Focus on designing, building, and maintaining scalable ETL/ELT pipelines and data models using Azure technologies, Databricks, Python, and SQL. Involves Power BI reporting and reusable ingestion frameworks.
- Design, build and maintain scalable ETL/ELT pipelines across Azure Data Factory, Databricks, Data Lake and Synapse
- Build reusable, configurable ingestion frameworks for structured, semi-structured and unstructured data
- Design dimensional data models and curated datasets for Power BI reporting
Key requirements
Must-have
- Experience in data engineering or data warehousing
- Delivering cloud-based enterprise data solutions
- Hands-on experience with Azure Databricks, Azure Data Factory, Azure Data Lake, Azure SQL or Synapse
- Proficiency in SQL
- Strong Python and PySpark skills
- Understanding of data warehousing, ETL/ELT design patterns and dimensional modelling
- Proficiency with Power BI and Azure DevOps
Nice-to-have
- CI/CD pipelines and Infrastructure-as-Code (e.g., Terraform or Bicep)
- Experience in financial services, insurance or regulated environments
- Experience in a lead position mentoring other engineers
Role signals
- Technical focus
- data engineering
- Leadership
- Mentoring
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Hands-on
Similar jobs
Full job description
I'm currently recruiting for a Senior Data Engineer for a leading global financial services organisation in Galway. This is an initial 12-month contract role focusing on hybrid working.
About the Role
-
Design, build and maintain scalable ETL/ELT pipelines across Azure Data Factory, Databricks, Data Lake and Synapse, for both batch and near real-time data.
-
Build reusable, configurable ingestion frameworks for structured, semi-structured and unstructured data.
-
Design dimensional data models and curated, ready-to-use datasets that feed Power BI reporting.
Requirements
-
Previous experience in data engineering or data warehousing, including delivering cloud-based enterprise data solutions.
-
Strong hands-on experience with Azure Databricks, Azure Data Factory, Azure Data Lake and Azure SQL or Synapse.
-
Proficiency in SQL, plus strong Python and PySpark.
-
Solid understanding of data warehousing, ETL/ELT design patterns and dimensional modelling.
-
Proficiency with Power BI and Azure DevOps.
Desirable
-
CI/CD pipelines and Infrastructure-as-Code, such as Terraform or Bicep.
-
Experience in financial services, insurance or another regulated environment.
-
Experience in a lead position mentoring other engineers.
If this role sounds of interest to you then apply through the link provided below.
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