Data Engineer, London or Buckingham

Fdo Consulting Limited
Marlow, UK
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£55,000.0 - £60,000.0
Working hours
Regular working hours

Tech stack

Microsoft Online Services Cloud Computing Code Review Information Engineering Extract Transform Load (ETL) Data Manipulation Languages Data Normalization Data Systems Data Warehousing Dimensional Modeling Power BI SQL Databases
+11 more
SQL Server Reporting Services SQL Server Integration Services SQL Server Analysis Services Systems Integration Transact-SQL Scripting Azure Data Factory Apache Spark Microsoft Fabric Data Pipelines Databricks

Job description

Data Engineer, On prem, SQL, SSIS, SSRS, SSAS, Regulated environment. One day a month in Marlow, Buckinghamshire or Canary Wharf, London. Salary £ 55000 - 60000 + excellent benefits

Please be aware the majority of the work is on-Prem so strong on-prem skills are critical. You should also have Cloud knowledge hopefully including Azure Data Factory, Databricks/Spark, ADLS and Microsoft Fabric., Expanding financial services client are looking for a Data Engineer to join their team. Working with MS technologies you will be part of a team that will implement complex data solutions that provide best in class customer experience and allow the business to make data driven decisions. Working across the business you will develop solutions aligned to business requirements., * Deliver high quality enterprise level data solutions on Microsoft platforms.

  • Work closely with architects and senior data engineers.
  • Contribute to agile events.
  • Participate in code reviews.
  • Create technical documentation and release notes.
  • Conduct testing prior to release.

Requirements

Previous experience in data engineering and business intelligence. Experience working in a regulated environment (ideally financial services)

  • Expertise in PowerBI
  • Expertise in SQL, SSIS, SSAS, SSRS, etc
  • Expertise with data pipelines and integrations ( ETL / ELT)
  • A good understanding of data warehousing, dimensional modelling, data normalisation, etc
  • Knowledge of data manipulation languages (T-SQL, DAX)
  • Cloud knowledge eg Azure data Factory, Databricks, ADLS, Fabric.

Knowledge of scripting languages and cloud technologies is an advantage however this role is mainly on-prem.

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