Job Title:

Senior Data Engineer

Grade:

Department:

IT

Reports To:

Head of Data Engineering

• Develop Business Intelligence and analytical solutions, prototypes for functional and enterprise use, including but not limited to testing, deployment and maintenance.
• Working with the architecture and infrastructure function, take the lead on architecture decisions and optimisation of data pipelines.
• Providing KPIs on data engineering team performance.

Supporting the team and actively delivering such responsibilities as:

• Develop data pipelines for ingestion, storage and transformation.
• Data acquisition and migration to Azure data platform, enterprise data warehouse, including conformance to enterprise data model.
• Provide technical support in development and delivery of data catalogue, lineage and data classification.
• Creation and maintenance of enterprise data views /data marts in enterprise data warehouse.
• Continuously seek opportunities to enhance data quality and reliability of data.
• Develop consistent documentation for technical processes.

Employee’s signature:

Date:

Manager’s signature:

Date:

Post:

Senior Data Engineer

Department:

IT

Requirements

Essential

Desirable

Educational attainment

• Degree Level Qualification in Computer science, IT or equivalent.
• Microsoft Certified: Azure Data Engineer Associate.

• Certification in Agile PM

Knowledge required

• Expert knowledge of Azure Data tech stack, specifically hands on experience of delivering solutions in Azure

DB, ADF pipelines, SSAS, SSIS, SQL Server DB.

• Expert knowledge of database design, relational and dimensional modelling, star schema and snow flake scheme.
• Working knowledge of Data and Visualisation tools, primarily Power BI.
• Working knowledge of Power Platform.

• Use of Salesforce
• Microsoft Office365
• Data Storytelling through reporting and visualisation
• DevOps/DataOps

Experience required

• Autonomous and optimised delivery of ETL and Data solutions in cloud-based infrastructure.
• Operational experience with metadata management data quality, and experience in the use of associated technologies.
• Technical expertise in data mining and segmentation.
• Hands on experience with SQL querying.
• Experience of using API’s to get data.
• Experience of working with Agile methodologies.

• Experience in Utility sector.
• Experience in Data catalog, data quality management platforms.
• Experience in reverse-engineer data models from a live system.

Skills and competencies required

• Communication skills in data, you know how to communicate between technical and non-technical stakeholders.
• Data analysis and synthesis, you know how to undertake data profiling and source system analysis.
• Ability to prioritise tasks aligned to bigger objective, raise risks and provide resolutions.
• Ability to understand data and turn data from various sources into business information.
• Demonstrate experience in working well within teams showing strong collaborations and resourcefulness.

Personal qualities required

• Enthusiasm to lead a team for optimal performance, identifying team matters and effectively resolving.
• Self-driven and team player.
• Attention to detail and accuracy.
• Drive and ability to learn new technologies quickly to stay up-to-date in an ever-changing environment Committed to providing the highest level of customer service.

• Able to analyse complex situations and derive workable actions.

• Ability to understand and integrate cultural differences and work effectively with virtual cross-cultural, cross-border teams.
• Experience developing and managing new and existing partnerships with 3rd party vendors.

Other

• Driving License