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For our Client, we need to find their new Senior Data Engineer:
Your role:
Implement data flows to connect operational systems, data for analytics and business
intelligence (BI) systems
Document source-to-target mappings
Re-engineer manual data flows to enable scaling and repeatable use
Support the build of data streaming systems
Write ETL scripts and code to make sure the ETL process performs optimally
Develop Business Intelligence reports that can be re-used
Build accessible data for analysis
Identify data storage requirements
Creating and maintaining a framework to implement and catalogue business logic in the
data warehouse
Providing Operational Support and rectifying any problems with the warehousing systems
Liaising with internal customers to understand business requirements
Working closely with IT colleagues to create solutions to extract data
Ensuring that metadata exists within the EDW
Responding to ad hoc requests for data and information
Dealing with service desk requests
Recommend continuous improvement of ETL processes and EDW based on user feedback and
performance
3 Examples of Key Activities
Working collaboratively with the Data Team and Business Users to ensure the EDW supports
the business BI and analytics needs
Consulting with IT colleagues to get a big-picture idea of data storage needs
Presenting cloud-based warehousing options based on storage needs
Designing and coding the data warehousing system to specifications
Building and maintaining enterprise data models (dimensional models/data marts)
Conducting testing of the warehousing environment before data is extracted and when new
data is added
Extracting data and securely transferring it into the warehousing environment
Testing and monitoring the storage system once data has been transferred
Troubleshooting any issues that may arise
Providing maintenance support
Engagement as Data SME on projects to provide expertise on data requirements and
development timelines
Supporting the business by flagging data quality issues
Attend team and project meetings
Qualifications
Essential for the role Desirable
Bachelor/Master’s degree in Computer Science,
Information Technology, Software Engineering,
Information Management or equivalent
through experience in a Data
Engineering/Warehousing profession
Data Architecture/Management
certification
MS Azure qualifications
Cloud analytics certification/qualification
Skills and Knowledge
Extensive experience of coding using Java, XML, SQL, Python and scripting languages
Extensive experience of database development and implementing security
Extensive experience of using ETL tools
Extensive experience of data modelling
Proficiency in warehousing architecture concepts, components and techniques, including Data
Vault, MOLAP, ROLAP, ODS, DM, and EDW
Experience of working with structured and structured data
Experience of developing solutions using Azure or other cloud environments
Experience of supporting BI, Data Science and operational data needs
Designing and implementing frameworks to manage data lineage, business logic, taxonomy and
governance
Strong project management skills
Ability to analyse a company’s big-picture data needs
Clear communication skills
Ability to troubleshoot and solve complex technical problems
High levels of self-organisation
Experience
Proven work experience as a data engineer/ETL developer in a complex environment
A Financial Services background is desirable
ETL and data warehousing using cloud solutions